ORCID Profile
0000-0003-0230-1432
Current Organisations
Murdoch University
,
University of New South Wales Canberra at ADFA
Does something not look right? The information on this page has been harvested from data sources that may not be up to date. We continue to work with information providers to improve coverage and quality. To report an issue, use the Feedback Form.
Research Topics
In Research Link Australia (RLA), "Research Topics" refer to ANZSRC FOR and SEO codes. These topics are either sourced from ANZSRC FOR and SEO codes listed in researchers' related grants or generated by a large language model (LLM) based on their publications.
Top 5 Research Topics
ANZSRC Field of Research (FoR)
Computer System Security | Artificial Intelligence and Image Processing | Pattern Recognition and Data Mining | Networking and Communications | Artificial Intelligence and Image Processing not elsewhere classified | Distributed Computing | Computer Software | Information Systems | Computer Vision | Image Processing | Information Storage, Retrieval And Management | Image Processing | Information Systems Management | Business and Management | Interdisciplinary Engineering Not Elsewhere Classified | Electronic Commerce | Data Security | Global Information Systems | Pattern Recognition | Database Management
ANZSRC Socio-Economic Objective (SEO)
Application Tools and System Utilities | Application tools and system utilities | Application packages | Information processing services | Communication Networks and Services not elsewhere classified | National Security | Application Software Packages (excl. Computer Games) | Computer Software and Services not elsewhere classified | Law Enforcement | Energy Services and Utilities | Other | Communication services not elsewhere classified | Computer software and services not elsewhere classified | Electronic Information Storage and Retrieval Services | Expanding Knowledge in the Information and Computing Sciences | Commercial security services |
Related Links
Publications
BrainPrint: EEG biometric identification based on analyzing brain connectivity graphs
Publisher: Elsevier BV
Date: 09-2020
Pistis: Replay Attack and Liveness Detection for Gait-Based User Authentication System on Wearable Devices Using Vibration
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2023
A hybrid public key infrastructure solution (HPKI) for HIPAA privacy/security regulations
Publisher: Elsevier BV
Date: 10-2010
Identifying click-requests for the network-side through traffic behavior
Publisher: Elsevier BV
Date: 2021
Analytic models for highspeed TCP fairness analysis
Publisher: IEEE
Date: 2004
A Correlation based Face Verification scheme designed for mobile device access control: From algorithm to Java ME implementation
Publisher: IEEE
Date: 06-2010
Low-Rank Matrix Decomposition with Superpixel-Based Structured Sparse Regularization for Moving Object Detection in Satellite Videos
Publisher: Copernicus GmbH
Date: 03-08-2020
DOI: 10.5194/ISPRS-ANNALS-V-2-2020-941-2020
Abstract: Abstract. With new accessibility to satellite videos, retrieving the dynamic information of moving objects over a vast territory becomes possible with the development of advanced video processing and machine learning techniques. Detecting moving objects can be based on the structures of both background and foreground of a satellite video, and the background is assumed to lay in a low dimensional subspace. As the moving objects in satellite videos are groups of neighbouring pixels other than isolated pixels, Low-rank and Structured Sparse Decomposition (LSD) with structured sparsity regularization on the foreground can suppress the false alarms caused by isolated outliers. However, in LSD, the groups of neighbouring pixels are extracted by a fixed sliding window over each video frame, which ignores the coherence on the appearance of a moving object. For ex le, a moving object can be in an irregular shape and arbitrary orientation. In this paper, we argue that the spatial groups on the foreground can be defined using the concept of superpixels, where each superpixel is formed by a group of spatially connected similar pixels obtained from over-segmentation. We conduct low-rank matrix decomposition at superpixel level, which is named as Superpixel-based LSD (S-LSD). To handle the variation in moving objects, we combine the superpixels at a range of scales in the superpixel-based spatial regularization on the foreground. With the reduction in the number of spatial groups, S-LSD presents reduced computation complexity. The results on two satellite videos show a satisfactory performance with a significant saving in processing time when the proposed S-LSD approach is applied.
Histogram-based online anomaly detection in hierarchical wireless sensor networks
Publisher: IEEE
Date: 06-2012
FingerGAN: A Constrained Fingerprint Generation Scheme for Latent Fingerprint Enhancement
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
Distributed collision control with the integration of packet size for congestion control in wireless sensor networks
Publisher: Wiley
Date: 18-07-2016
DOI: 10.1002/WCM.2488
Editorial: Advances in network and system security
Publisher: Elsevier BV
Date: 07-2011
Deep Learning in Diverse Intelligent Sensor Based Systems
Publisher: MDPI AG
Date: 21-12-2022
DOI: 10.3390/S23010062
Abstract: Deep learning has become a predominant method for solving data analysis problems in virtually all fields of science and engineering. The increasing complexity and the large volume of data collected by erse sensor systems have spurred the development of deep learning methods and have fundamentally transformed the way the data are acquired, processed, analyzed, and interpreted. With the rapid development of deep learning technology and its ever-increasing range of successful applications across erse sensor systems, there is an urgent need to provide a comprehensive investigation of deep learning in this domain from a holistic view. This survey paper aims to contribute to this by systematically investigating deep learning models/methods and their applications across erse sensor systems. It also provides a comprehensive summary of deep learning implementation tips and links to tutorials, open-source codes, and pretrained models, which can serve as an excellent self-contained reference for deep learning practitioners and those seeking to innovate deep learning in this space. In addition, this paper provides insights into research topics in erse sensor systems where deep learning has not yet been well-developed, and highlights challenges and future opportunities. This survey serves as a catalyst to accelerate the application and transformation of deep learning in erse sensor systems.
3D Fingerprint Recognition based on Ridge-Valley-Guided 3D Reconstruction and 3D Topology Polymer Feature Extraction
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2021
Secure searches in the cloud: A survey
Publisher: Elsevier BV
Date: 09-2016
SP-RAN: Self-Paced Residual Aggregated Network for Solar Panel Mapping in Weakly Labeled Aerial Images
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2022
Lossless Data Hiding in Encrypted Images Compatible With Homomorphic Processing
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2023
On the Effectiveness of Relaxation Theory for Controlling High Traffic Volumes in Body Sensor Networks
Publisher: Springer Berlin Heidelberg
Date: 2012
Novel Borrelia species detected in echidna ticks, Bothriocroton concolor, in Australia
Publisher: Springer Science and Business Media LLC
Date: 14-06-2016
A dual-layer clustering scheme for real-time identification of plagiarized massive multiplayer games (MMG) assets
Publisher: IEEE
Date: 06-2010
Modelling of SACK TCP and application to the HTTP file transfer environment
Publisher: IEEE
Date: 2005
DOI: 10.1109/LCN.2005.91
Mutual dependency of features in multimodal biometric systems
Publisher: Institution of Engineering and Technology (IET)
Date: 02-2015
DOI: 10.1049/EL.2014.4182
Detecting rare visual and auditory events from EEG using pairwise-comparison neural networks
Publisher: Springer International Publishing
Date: 2016
A Personalized Multi-keyword Ranked Search Method Over Encrypted Cloud Data
Publisher: Springer International Publishing
Date: 2018
Robust fingerprint matching based on convolutional neural networks
Publisher: Springer International Publishing
Date: 2018
Distributed power control with double-layer Stackelberg game and utility learning in cooperative relay networks
Publisher: IEEE
Date: 06-2015
A k-Nearest Neighbor Approach for User Authentication through Biometric Keystroke Dynamics
Publisher: IEEE
Date: 2008
DOI: 10.1109/ICC.2008.301
Taxonomy of Attacks for Agent-Based Smart Grids
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2016
A general transformation from KP-ABE to searchable encryption
Publisher: Springer Berlin Heidelberg
Date: 2012
Energy Minimization in Multi-Task Software-Defined Sensor Networks
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 11-2015
HCSF: A hierarchical clustering algorithm based on swarm intelligence and fuzzy logic for ciphertext search
Publisher: IEEE
Date: 06-2015
Emergency data gathering with buffer constraint in actuator-based wireless sensor networks
Publisher: IEEE
Date: 06-2015
Distributed Segment-Based Anomaly Detection With Kullback–Leibler Divergence in Wireless Sensor Networks
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2017
Q-learning-based adjustable fixed-phase quantum Grover search algorithm
Publisher: Physical Society of Japan
Date: 15-02-2017
Representation Learning and Pattern Recognition in Cognitive Biometrics: A Survey
Publisher: MDPI AG
Date: 07-07-2022
DOI: 10.3390/S22145111
Abstract: Cognitive biometrics is an emerging branch of biometric technology. Recent research has demonstrated great potential for using cognitive biometrics in versatile applications, including biometric recognition and cognitive and emotional state recognition. There is a major need to summarize the latest developments in this field. Existing surveys have mainly focused on a small subset of cognitive biometric modalities, such as EEG and ECG. This article provides a comprehensive review of cognitive biometrics, covering all the major biosignal modalities and applications. A taxonomy is designed to structure the corresponding knowledge and guide the survey from signal acquisition and pre-processing to representation learning and pattern recognition. We provide a unified view of the methodological advances in these four aspects across various biosignals and applications, facilitating interdisciplinary research and knowledge transfer across fields. Furthermore, this article discusses open research directions in cognitive biometrics and proposes future prospects for developing reliable and secure cognitive biometric systems.
A blind system identification approach to cancelable fingerprint templates
Publisher: Elsevier BV
Date: 06-2016
Convolutional Neural Networks Using Dynamic Functional Connectivity for EEG-Based Person Identification in Diverse Human States
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2019
Pseudo random data stream generation for data/images protection in ubiquitous computing environment
Publisher: IEEE
Date: 06-2011
A finger-vein based cancellable bio-cryptosystem
Publisher: Springer Berlin Heidelberg
Date: 2013
Multi-constrained orientation field modeling and its application for fingerprint indexing
Publisher: Springer International Publishing
Date: 2015
A holistic review of Network Anomaly Detection Systems: A comprehensive survey
Publisher: Elsevier BV
Date: 02-2019
Profiling the diversity of Cryptosporidium species and genotypes in wastewater treatment plants in Australia using next generation sequencing
Publisher: Elsevier BV
Date: 12-2018
DOI: 10.1016/J.SCITOTENV.2018.07.024
Abstract: Wastewater recycling is an increasingly popular option in worldwide to reduce pressure on water supplies due to population growth and climate change. Cryptosporidium spp. are among the most common parasites found in wastewater and understanding the prevalence of human-infectious species is essential for accurate quantitative microbial risk assessment (QMRA) and cost-effective management of wastewater. The present study conducted next generation sequencing (NGS) to determine the prevalence and ersity of Cryptosporidium species in 730 raw influent s les from 25 Australian wastewater treatment plants (WWTPs) across three states: New South Wales (NSW), Queensland (QLD) and Western Australia (WA), between 2014 and 2015. All s les were screened for the presence of Cryptosporidium at the 18S rRNA (18S) locus using quantitative PCR (qPCR), oocyst numbers were determined directly from the qPCR data using DNA standards calibrated by droplet digital PCR, and positives were characterized using NGS of 18S licons. Positives were also screened using C. parvum and C. hominis specific qPCRs. The overall Cryptosporidium prevalence was 11.4% (83/730): 14.3% (3/21) in NSW 10.8% (51/470) in QLD and 12.1% (29/239) in WA. A total of 17 Cryptosporidium species and six genotypes were detected by NGS. In NSW, C. hominis and Cryptosporidium rat genotype III were the most prevalent species (9.5% each). In QLD, C. galli, C. muris and C. parvum were the three most prevalent species (7.7%, 5.7%, and 4.5%, respectively), while in WA, C. meleagridis was the most prevalent species (6.3%). The oocyst load/Litre ranged from 70 to 18,055 oocysts/L (overall mean of 3426 oocysts/L: 4746 oocysts/L in NSW 3578 oocysts/L in QLD and 3292 oocysts/L in WA). NGS-based profiling demonstrated that Cryptosporidium is prevalent in the raw influent across Australia and revealed a large ersity of Cryptosporidium species and genotypes, which indicates the potential contribution of livestock, wildlife and birds to wastewater contamination.
H-infinity design for a sonar-platform
Publisher: IEEE
Date: 11-2005
Privacy-preserving identity-based file sharing in smart city
Publisher: Springer Science and Business Media LLC
Date: 28-06-2017
Energy-Efficient Cooperative Communications for Multimedia Applications in Multi-Channel Wireless Networks
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2014
A pitfall in fingerprint bio-cryptographic key generation
Publisher: Elsevier BV
Date: 07-2011
Foreword from the Conference Chairs
Publisher: IEEE
Date: 09-2011
Analysis of Spectral Bands and Spatial Resolutions for Weed Classification Via Deep Convolutional Neural Network
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 02-2019
IEEE Access Special Section Editorial: Security and Trusted Computing for Industrial Internet of Things: Research Challenges and Opportunities
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2020
An effective zoom-in approach for detecting dim and small target proposals in satellite imagery
Publisher: IEEE
Date: 07-2018
Secure Autonomous Mobile Agents for Web Services
Publisher: IEEE
Date: 12-2018
A novel Ehrlichia species in blood and Ixodes ornithorhynchi ticks from platypuses (Ornithorhynchus anatinus) in Queensland and Tasmania, Australia
Publisher: Elsevier BV
Date: 02-2018
DOI: 10.1016/J.TTBDIS.2017.12.011
Abstract: Worldwide, Ehrlichia spp. are emerging infectious organisms of domestic animals and people, however, most Ehrlichia spp. naturally infect wildlife reservoirs causing mainly asymptomatic infections. Australian ecosystems have been under-explored for these potentially pathogenic organisms, and recent studies have identified a range of novel Ehrlichia, and their sister genera, Anaplasma and 'Candidatus Neoehrlichia' species, from native Australian ticks. We used bacterial 16S rRNA (16S) next-generation sequencing and genus-specific PCR to profile the bacterial communities in platypus (Ornithorhynchus anatinus) blood s les and platypus ticks (Ixodes ornithorhynchi), and identified a high prevalence of Ehrlichia sequences. We also observed Ehrlichia-like intra-neutrophilic inclusions (morulae) in PCR-positive stained platypus blood films that were consistent in morphology with other Ehrlichia spp. Bayesian phylogenetic analysis of 16S (1343 bp), gltA (1004 bp), and groEL (1074 bp) gene sequences group the platypus Ehrlichia with 'Candidatus Ehrlichia khabarensis' from far-eastern Russia, and demonstrate that the platypus Ehrlichia is clearly distinct from all other Ehrlichia spp. Enough genetic ergence exists to delineate this platypus Ehrlichia as a separate species that we propose to designate 'Candidatus Ehrlichia ornithorhynchi'. There is no evidence that 'Candidatus Ehrlichia ornithorhynchi' causes disease in wild platypuses, however, the organism does seem to be widespread in Australia, being found in both Queensland and Tasmania. 'Candidatus Ehrlichia ornithorhynchi' is the second native Australian Ehrlichia described and adds to the rapidly growing ersity of recently described native Australian tick-borne bacteria.
Rotation estimation of singular points using analytical models
Publisher: SPIE
Date: 16-03-2008
DOI: 10.1117/12.778651
Securing Deep Learning Based Edge Finger Vein Biometrics With Binary Decision Diagram
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2019
Transthoracic resection versus non-transthoracic resection for gastroesophageal junction cancer: A meta-analysis
Publisher: Public Library of Science (PLoS)
Date: 04-06-2012
Zoonotic Cryptosporidium species in animals inhabiting sydney water catchments
Publisher: Public Library of Science (PLoS)
Date: 14-12-2016
Knowledge, Attitude and Practices Towards Cryptosporidium Among Public Swimming Pool Patrons and Staff in Western Australia
Publisher: Springer Science and Business Media LLC
Date: 28-10-2021
DOI: 10.1007/S11686-021-00482-5
Abstract: There is a dearth of research conducted on the Knowledge, Attitude and Practices (KAP) of swimming pool patrons and staff to determine their understanding of the importance of Cryptosporidium and its transmission in swimming pools. We conducted a KAP survey of public swimming pool patrons (n = 380) and staff (n = 40) attending five public swimming pools in Western Australia (WA). Knowledge, attitudes and practices (KAP) of Cryptosporidium varied between patrons and staff but were generally limited. Only 26.1% and 25.0% of patrons and staff had heard of Cryptosporidium, while 17.4% and 10.0% knew that it causes diarrhoea, respectively. Thirty-one percent of patrons were aware of their pool policy concerning gastroenteritis and Cryptosporidium, compared to 62.5% of staff. Less than 50% of patrons demonstrated awareness of how features within the pool environment were relevant to the control of Cryptosporidium. Only about a third of patrons (35%) and staff (37.5%) were aware that showering before swimming reduced the risk of gastroenteritis. Raising awareness about hygiene-related practices through the delivery of targeted health education messages to the general public is essential to reduce the burden of Cryptosporidium infections in aquatic environments.
Satellite Multi-Vehicle Tracking under Inconsistent Detection Conditions by Bilevel K-Shortest Paths Optimization
Publisher: IEEE
Date: 12-2018
Preface: Security & privacy in social big data
Publisher: Elsevier BV
Date: 07-2020
A note on an analytic model for slow start in TCP
Publisher: IEEE
Date: 2003
Latent fingerprint segmentation based on convolutional neural networks
Publisher: IEEE
Date: 12-2017
Security and Accuracy of Fingerprint-Based Biometrics: A Review
Publisher: MDPI AG
Date: 28-01-2019
DOI: 10.3390/SYM11020141
Abstract: Biometric systems are increasingly replacing traditional password- and token-based authentication systems. Security and recognition accuracy are the two most important aspects to consider in designing a biometric system. In this paper, a comprehensive review is presented to shed light on the latest developments in the study of fingerprint-based biometrics covering these two aspects with a view to improving system security and recognition accuracy. Based on a thorough analysis and discussion, limitations of existing research work are outlined and suggestions for future work are provided. It is shown in the paper that researchers continue to face challenges in tackling the two most critical attacks to biometric systems, namely, attacks to the user interface and template databases. How to design proper countermeasures to thwart these attacks, thereby providing strong security and yet at the same time maintaining high recognition accuracy, is a hot research topic currently, as well as in the foreseeable future. Moreover, recognition accuracy under non-ideal conditions is more likely to be unsatisfactory and thus needs particular attention in biometric system design. Related challenges and current research trends are also outlined in this paper.
Camera motion estimation through monocular normal flow vectors
Publisher: Elsevier BV
Date: 2015
Transferable Convolutional Neural Network for Weed Mapping With Multisensor Imagery
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2022
Cooperative multi-target tracking in passive sensor-based networks
Publisher: IEEE
Date: 04-2013
PowerFDNet: Deep Learning-Based Stealthy False Data Injection Attack Detection for AC-Model Transmission Systems
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2022
Contactless fingerprint enhancement via intrinsic image decomposition and guided image filtering
Publisher: IEEE
Date: 06-2016
Partial fingerprint reconstruction with improved smooth extension
Publisher: Springer Berlin Heidelberg
Date: 2013
Enhanced gradient-based algorithm for the estimation of fingerprint orientation fields
Publisher: Elsevier BV
Date: 02-2007
Enhancements for RTT-Fair HighSpeed TCP
Publisher: IEEE
Date: 11-2006
A robust multi-constrained model for fingerprint orientation field construction
Publisher: IEEE
Date: 06-2016
A fingerprint and finger-vein based cancelable multi-biometric system
Publisher: Elsevier BV
Date: 06-2018
Lifetime optimization for reliable broadcast and multicast in wirelessad hocnetworks
Publisher: Wiley
Date: 26-01-2012
DOI: 10.1002/WCM.1247
Message from the NSS 2010 Program Chairs
Publisher: IEEE
Date: 09-2010
DOI: 10.1109/NSS.2010.5
Sliding-mode observers for real-time DDoS detection
Publisher: IEEE
Date: 06-2016
Corrigendum to “Recognizing the content types of network traffic based on a hybrid DNN-HMM model” (Journal of Network and Computer Applications (2019) 142 (51–62), (S1084804519301948), (10.1016/j.jnca.2019.06.004))
Publisher: Elsevier BV
Date: 11-2019
A bio-inspired host-based multi-engine detection system with sequential pattern recognition
Publisher: IEEE
Date: 12-2011
DOI: 10.1109/DASC.2011.46
Detection of Denial-of-Service Attacks Based on Computer Vision Techniques
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2015
A Survey on 2D and 3D Contactless Fingerprint Biometrics: A Taxonomy, Review, and Future Directions
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2021
Fingerprint images encryption via multi-scroll chaotic attractors
Publisher: Elsevier BV
Date: 02-2007
Mobile fingerprint template protection: Progress and open issues
Publisher: IEEE
Date: 06-2008
Fundus Image Enhancement via Semi-Supervised GAN and Anatomical Structure Preservation
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
Terminal sliding mode observer for anomaly detection in TCP/IP networks
Publisher: IEEE
Date: 12-2011
A survey of game theoretic approaches to modelling decision-making in information warfare scenarios
Publisher: MDPI AG
Date: 22-07-2016
DOI: 10.3390/FI8030034
Threshold attribute-based signcryption and its application to authenticated key agreement
Publisher: Wiley
Date: 27-10-2016
DOI: 10.1002/SEC.1664
Generation of a new IDS test dataset: Time to retire the KDD collection
Publisher: IEEE
Date: 04-2013
Collaborative Wireless Sensor Networks and Applications
Publisher: SAGE Publications
Date: 08-2015
DOI: 10.1155/2015/352761
Deep Gaussian Mixture-Hidden Markov Model for Classification of EEG Signals
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-2018
Zoonotic infection by Cryptosporidium fayeri IVgA10G1T1R1 in a Western Australian human
Publisher: Wiley
Date: 17-01-2021
DOI: 10.1111/ZPH.12806
Mobile device access control: An improved correlation based face authentication scheme and its Java ME application
Publisher: Wiley
Date: 28-07-2012
DOI: 10.1002/CPE.1797
First record of the stump-tailed lizard tick, Amblyomma albolimbatum (Ixodida, Ixodidae) parasitising a human.
Publisher: Elsevier BV
Date: 2022
DOI: 10.1016/J.TTBDIS.2021.101873
Abstract: Ticks are haematophagous arthropods that parasitise a wide range of vertebrate hosts. In Australia, there are currently 74 tick species described 22 tick species have been reported parasitising humans. The stump-tailed lizard tick, Amblyomma albolimbatum, feeds on reptiles, most commonly lizards and snakes however, we report the first case of A. albolimbatum parasitising a human. The nymphal tick was removed while conducting fieldwork on western tiger snakes (Notechis scutatus occidentalis) in an urban city environment near Perth, Western Australia. The tick was identified using morphological descriptions, which was further supported by the abundance of all parasitic stages of A. albolimbatum on the tiger snakes s led. The number of tick species recorded from humans in Australia is now revised to 23 species. With the increasing incidence of tick-borne illnesses in Australia, this study highlights the need to report cases of new or atypical hosts, particularly humans, and especially when the ticks have been associated with zoonotic pathogens.
A partial Hadamard transform approach to the design of cancelable fingerprint templates containing binary biometric representations
Publisher: Elsevier BV
Date: 2017
Weed classification in hyperspectral remote sensing images via deep convolutional neural network
Publisher: IEEE
Date: 07-2018
A program-based anomaly intrusion detection scheme using multiple detection engines and fuzzy inference
Publisher: Elsevier BV
Date: 11-2009
Systematic H∞ weighting function selection and its application to the real-time control of a vertical take-off aircraft
Publisher: Elsevier BV
Date: 03-2000
Evolving Robust Policy Coverage Sets in Multi-Objective Markov Decision Processes Through Intrinsically Motivated Self-Play
Publisher: Frontiers Media SA
Date: 09-10-2018
A new binary hybrid particle swarm optimization with wavelet mutation
Publisher: Elsevier BV
Date: 08-2017
Rejection of the name Borreliella and all proposed species comb. nov. placed therein
Publisher: Microbiology Society
Date: 05-2020
Abstract: Rejection ( nomen rejiciendum ) of the name Borreliella and all new combinations therein is being requested on grounds of risk to human health and patient safety (Principle 1, subprinciple 2 and Rule 56a) and violation to aim for stability of names, to avoid useless creation of names (Principle 1, subprinciple 1 and 3) and that names should not be changed without sufficient reason (Principle 9 of the International Code of Nomenclature of Prokaryotes).
A General Communication Cost Optimization Framework for Big Data Stream Processing in Geo-Distributed Data Centers
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2016
Dual Layer Structure Check (DLSC) fingerprint verification scheme designed for biometric mobile template protection
Publisher: IEEE
Date: 05-2009
A real-time NetFlow-based intrusion detection system with improved BBNN and high-frequency field programmable gate arrays
Publisher: IEEE
Date: 06-2012
The effect of spurious and missing minutiae on delaunay triangulation based on its application to fingerprint authentication
Publisher: IEEE
Date: 08-2014
An Active Cooperation-Aware Spectrum Allocation Mechanism for Body Sensor Networks
Publisher: MDPI AG
Date: 28-01-2015
DOI: 10.3390/S150202812
Critical infrastructure protection: Resource efficient sampling to improve detection of less frequent patterns in network traffic
Publisher: Elsevier BV
Date: 07-2010
A Security-Enhanced Alignment-Free Fuzzy Vault-Based Fingerprint Cryptosystem Using Pair-Polar Minutiae Structures
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2016
Developing a distributed agent-based computer network security infrastructure
Publisher: IEEE
Date: 11-2005
Reconstructing the Work of Teacher Educators
Publisher: Springer Nature Singapore
Date: 2022
Robust congestion control for high speed data networks with uncertain time-variant delays: An LMI control approach
Publisher: IEEE
Date: 2005
DOI: 10.1109/LCN.2005.117
Scalable Hypergrid k-NN-Based Online Anomaly Detection in Wireless Sensor Networks
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-2013
Comparative studies of router-based observation schemes for anomaly detection in TCP/UDP networks
Publisher: IEEE
Date: 03-2016
Australian penguin ticks screened for novel Borrelia species
Publisher: Elsevier BV
Date: 02-2018
DOI: 10.1016/J.TTBDIS.2017.12.007
Abstract: Lyme borreliosis (or Lyme Disease) is an emerging threat to human health in the Northern Hemisphere caused by tick-borne bacteria from the Borrelia burgdorferi sensu lato (Bbsl) complex. Seabirds are important reservoir hosts of some members of the Bbsl complex in the Northern Hemisphere, and some evidence suggests this may be true of penguins in the Southern Hemisphere. While the Bbsl complex has not been detected in Australia, a novel Borrelia species ('Candidatus Borrelia tachyglossi') was recently sequenced from native ticks (Ixodes holocyclus and Bothriocroton concolor) parasitising echidnas (Tachyglossus aculeatus), suggesting unidentified borreliae may be circulating amongst native wildlife and their ticks. In the present study, we investigated whether ticks parasitising little penguins (Eudyptula novaehollandiae) harbour native or introduced Borrelia bacteria. We chose this penguin species because it is heavily exploited by ticks during the breeding season, lives in close proximity to other potential reservoir hosts (including native wildlife and migratory seabirds), and is known to be infected with other tick-borne pathogens (Babesia). We screened over 230 penguin ticks (Ixodes spp.) from colonies in south-eastern Australia, and found no evidence of Borrelia DNA. The apparent absence or rarity of the bacterium in south-eastern Australia has important implications for identifying potential tick-borne pathogens in an understudied region.
Special issue on “quality of service in wireless and mobile networking”
Publisher: Elsevier BV
Date: 11-2014
Publicly Verifiable Shared Dynamic Electronic Health Record Databases With Functional Commitment Supporting Privacy-Preserving Integrity Auditing
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2022
Next Generation Sequencing uncovers within-host differences in the genetic diversity of Cryptosporidium gp60 subtypes
Publisher: Elsevier BV
Date: 09-2017
DOI: 10.1016/J.IJPARA.2017.03.003
Abstract: The extent of within-host genetic ersity of parasites has implications for our understanding of the epidemiology, disease severity and evolution of parasite virulence. As with many other species, our understanding of the within-host ersity of the enteric parasite Cryptosporidium is changing. The present study compared Sanger and Next Generation Sequencing of glycoprotein 60 (gp60) licons from Cryptosporidium hominis (n=11), Cryptosporidium parvum (n=22) and Cryptosporidium cuniculus (n=8) DNA s les from Australia and China. Sanger sequencing identified only one gp60 subtype in each DNA s le: one C. hominis subtype (IbA10G2) (n=11), four C. parvum subtypes belonging to IIa (n=3) and IId (n=19) and one C. cuniculus subtype (VbA23) (n=8). Next Generation Sequencing identified the same subtypes initially identified by Sanger sequencing, but also identified additional gp60 subtypes in C. parvum and C. cuniculus but not in C. hominis, DNA s les. The number of C. parvum and C. cuniculus subtypes identified by Next Generation Sequencing within in idual DNA s les ranged from two to four, and both C. parvum IIa and IId subtype families were identified within the one host in two s les. The finding of the present study has important implications for Cryptosporidium transmission tracking as well as vaccine and drug studies.
A new way of generating grid-scroll chaos and its application to biometric authentication
Publisher: IEEE
Date: 2005
Cloud-Based Approximate Constrained Shortest Distance Queries Over Encrypted Graphs With Privacy Protection
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2018
Towards reliable data feature retrieval and decision engine in host-based anomaly detection systems
Publisher: IEEE
Date: 06-2015
A new Lagrange solution to the privacy-preserving general geometric intersection problem
Publisher: Elsevier BV
Date: 11-2014
Special section: Green computing
Publisher: Elsevier BV
Date: 02-2012
Blind channel estimation for single-input multiple-output OFDM systems: Zero padding based or cyclic prefix based?
Publisher: Wiley
Date: 15-03-2013
DOI: 10.1002/WCM.1109
A Cancelable Iris- and Steganography-Based User Authentication System for the Internet of Things
Publisher: MDPI AG
Date: 06-07-2019
DOI: 10.3390/S19132985
Abstract: Remote user authentication for Internet of Things (IoT) devices is critical to IoT security, as it helps prevent unauthorized access to IoT networks. Biometrics is an appealing authentication technique due to its advantages over traditional password-based authentication. However, the protection of biometric data itself is also important, as original biometric data cannot be replaced or reissued if compromised. In this paper, we propose a cancelable iris- and steganography-based user authentication system to provide user authentication and secure the original iris data. Most of the existing cancelable iris biometric systems need a user-specific key to guide feature transformation, e.g., permutation or random projection, which is also known as key-dependent transformation. One issue associated with key-dependent transformations is that if the user-specific key is compromised, some useful information can be leaked and exploited by adversaries to restore the original iris feature data. To mitigate this risk, the proposed scheme enhances system security by integrating an effective information-hiding technique—steganography. By concealing the user-specific key, the threat of key exposure-related attacks, e.g., attacks via record multiplicity, can be defused, thus heightening the overall system security and complementing the protection offered by cancelable biometric techniques.
Comparison of morphological and molecular methods to identify the diet of a generalist omnivore
Publisher: CSIRO Publishing
Date: 2020
DOI: 10.1071/WR19079
Erratum: Self-Healing Key Distribution Schemes for Wireless Networks: A Survey
Publisher: Oxford University Press (OUP)
Date: 27-03-2012
Taxonomy and Framework for Integrating Dependability and Security
Publisher: Elsevier
Date: 2008
Pair-polar coordinate-based cancelable fingerprint templates
Publisher: Elsevier BV
Date: 10-2011
Modeling Oscillation Behavior of Network Traffic by Nested Hidden Markov Model with Variable State-Duration
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2013
Multi-scale Weighted Inherent Fuzzy Entropy for EEG Biomarkers
Publisher: IEEE
Date: 07-2018
Rethinking Coxiella infections in Australia
Publisher: CSIRO Publishing
Date: 2018
DOI: 10.1071/MA18069
Abstract: Coxiellaburnetii is the causative agent of coxiellosis in animals and Q fever in humans. Despite being a vaccine preventable disease, Q fever remains a frequently reported zoonotic infection in Australia. Recently, a Coxiella species was identified in brown dog ticks (Rhipicephalus sanguineus) in urban and rural regions of Australia. Further molecular characterisation revealed that it is genetically identical to ‘Candidatus Coxiella massiliensis’ (KM079627) described in R. sanguineus ticks removed from humans with eschars in France and serologic cross-reactivity among ‘Ca. Coxiella massiliensis’ and C.burnetii may occur. This report highlights the need for molecular testing of seropositive companion animals and humans to determine which species of Coxiella they are infected with, in order to further assess Coxiella species associated with Coxiella infections in Australia.
Key negotiation schemes for body sensor networks on the surface of the human body
Publisher: Inderscience Publishers
Date: 2017
A biometric encryption approach incorporating fingerprint indexing in key generation
Publisher: Springer Berlin Heidelberg
Date: 2006
DOI: 10.1007/11816102_38
An invasive human commensal and a native marsupial maintain tick populations at the urban fringe
Publisher: Wiley
Date: 31-01-2023
DOI: 10.1111/MVE.12643
Abstract: Ticks (Acari: Ixodidae) are major disease vectors globally making it increasingly important to understand how altered vertebrate communities in urban areas shape tick population dynamics. In urban landscapes of Australia, little is known about which native and introduced small mammals maintain tick populations preventing host‐targeted tick management and leading to human–wildlife conflict. Here, we determined (1) larval, nymphal, and adult tick burdens on host species and potential drivers, (2) the number of ticks supported by the different host populations, and (3) the proportion of medically significant tick species feeding on the different host species in Northern Sydney. We counted 3551 ticks on 241 mammals at 15 sites and found that long‐nosed bandicoots ( Perameles nasuta ) hosted more ticks of all life stages than other small mammals but introduced black rats ( Rattus rattus ) were more abundant at most sites (33%–100%) and therefore important in supporting larval and nymphal ticks in our study areas. Black rats and bandicoots hosted a greater proportion of medically significant tick species including Ixodes holocyclus than other hosts. Our results show that an introduced human commensal contributes to maintaining urban tick populations and suggests ticks could be managed by controlling rat populations on urban fringes.
The bacterial biome of ticks and their wildlife hosts at the urban–wildland interface
Publisher: Microbiology Society
Date: 16-12-2021
Abstract: Advances in sequencing technologies have revealed the complex and erse microbial communities present in ticks (Ixodida). As obligate blood-feeding arthropods, ticks are responsible for a number of infectious diseases that can affect humans, livestock, domestic animals and wildlife. While cases of human tick-borne diseases continue to increase in the northern hemisphere, there has been relatively little recognition of zoonotic tick-borne pathogens in Australia. Over the past 5 years, studies using high-throughput sequencing technologies have shown that Australian ticks harbour unique and erse bacterial communities. In the present study, free-ranging wildlife ( n =203), representing ten mammal species, were s led from urban and peri-urban areas in New South Wales (NSW), Queensland (QLD) and Western Australia (WA). Bacterial metabarcoding targeting the 16S rRNA locus was used to characterize the microbiomes of three s le types collected from wildlife: blood, ticks and tissue s les. Further sequence information was obtained for selected taxa of interest. Six tick species were identified from wildlife: Amblyomma triguttatum , Ixodes antechini , Ixodes australiensis , Ixodes holocyclus , Ixodes tasmani and Ixodes trichosuri . Bacterial 16S rRNA metabarcoding was performed on 536 s les and 65 controls, generating over 100 million sequences. Alpha ersity was significantly different between the three s le types, with tissue s les displaying the highest alpha ersity ( P .001). Proteobacteria was the most abundant taxon identified across all s le types (37.3 %). Beta ersity analysis and ordination revealed little overlap between the three s le types ( P .001). Taxa of interest included Anaplasmataceae , Bartonella , Borrelia , Coxiellaceae , Francisella , Midichloria , Mycoplasma and Rickettsia . Anaplasmataceae bacteria were detected in 17.7% (95/536) of s les and included Anaplasma , Ehrlichia and Neoehrlichia species. In s les from NSW, ‘ Ca . Neoehrlichia australis’, ‘ Ca . Neoehrlichia arcana’, Neoehrlichia sp. and Ehrlichia sp. were identified. A putative novel Ehrlichia sp. was identified from WA and Anaplasma platys was identified from QLD. Nine rodent tissue s les were positive for a novel Borrelia sp. that formed a phylogenetically distinct clade separate from the Lyme Borrelia and relapsing fever groups. This novel clade included recently identified rodent-associated Borrelia genotypes, which were described from Spain and North America. Bartonella was identified in 12.9% (69/536) of s les. Over half of these positive s les were obtained from black rats ( Rattus rattus ), and the dominant bacterial species identified were Bartonella coopersplainsensis and Bartonella queenslandensis . The results from the present study show the value of using unbiased high-throughput sequencing applied to s les collected from wildlife. In addition to understanding the sylvatic cycle of known vector-associated pathogens, surveillance work is important to ensure preparedness for potential zoonotic spillover events.
A Delaunay triangle-based fuzzy extractor for fingerprint authentication
Publisher: IEEE
Date: 06-2012
Fine-Grained Webpage Fingerprinting Using Only Packet Length Information of Encrypted Traffic
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2021
An Efficient Privacy-Enhancing Cross-Silo Federated Learning and Applications for False Data Injection Attack Detection in Smart Grids
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
A Privacy-Preserving State Estimation Scheme for Smart Grids
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2023
Investigating Correlation-Based Fingerprint Authentication Schemes for Mobile Devices Using the J2ME technology
Publisher: IEEE
Date: 06-2007
Teacher Educators as Agents of Change: New Tools as Enablers
Publisher: Springer Nature Singapore
Date: 2022
Securing Body Sensor Networks with Biometric Methods: A New Key Negotiation Method and a Key Sampling Method for Linear Interpolation Encryption
Publisher: SAGE Publications
Date: 08-2015
DOI: 10.1155/2015/764919
Abstract: We present two approaches that exploit biometric data to address security problems in the body sensor networks: a new key negotiation scheme based on the fuzzy extractor technology and an improved linear interpolation encryption method. The first approach designs two attack games to give the formal definition of fuzzy negotiation that forms a new key negotiation scheme based on fuzzy extractor technology. According to the definition, we further define a concrete structure of fuzzy negotiation that can enlarge the types of biometric data used to negotiate shared keys between biosensor nodes. The second approach includes a detailed key s ling method that uses shared secrets to generate linear interpolation factors and an improved linear interpolation encryption scheme based on linear equation group. Security analyses show that these two approaches are secure and can resist attacks launched by Ultra-Wide Band (UWB) technology, which has not received due attention in the existing studies.
Pseudo Supervised Solar Panel Mapping based on Deep Convolutional Networks with Label Correction Strategy in Aerial Images
Publisher: IEEE
Date: 29-11-2020
A Voronoi neighbor structure-based fingerprint cryptosystem using minutiae descriptors and error-correcting codes
Publisher: IEEE
Date: 06-2015
A hash chains based key management scheme for wireless sensor networks
Publisher: Springer Berlin Heidelberg
Date: 2012
Bacterial tick-associated infections in Australia: Current studies and future directions
Publisher: CSIRO Publishing
Date: 2018
DOI: 10.1071/MA18063
Abstract: It may seem perplexing that there is any uncertainty in Australia about the existence of zoonotic tick-associated infections1–3. Outside this country, particularly in the northern hemisphere, tick-borne diseases such as human granulocytic anaplasmosis, babesiosis, Boutonneuse fever, ehrlichiosis, Lyme borreliosis, and tick-borne encephalitis, have well documented aetiologies, epidemiology, diagnostic methods, and treatments. Why is Australia different and what research is being conducted to address this issue? This article briefly addresses these questions and explains how high-throughput metagenomic analysis has started to shed light on bacterial microbiomes in Australian ticks, providing new data on the presence and distribution of potentially zoonotic microbial taxa.
Preface: Security and privacy in big data clouds
Publisher: Elsevier BV
Date: 07-2017
Direct feature point correspondence discovery for multiview images: An alternative solution when SIFT-based matching fails
Publisher: Springer International Publishing
Date: 24-11-2017
Evaluating host-based anomaly detection systems: Application of the one-class SVM algorithm to ADFA-LD
Publisher: IEEE
Date: 08-2014
Optional multi-biometric cryptosystem based on fuzzy extractor
Publisher: IEEE
Date: 08-2014
Network Traffic Content Identification Based on Time-Scale Signal Modeling
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2022
Detecting Anomalous Behavior in Cloud Servers by Nested-Arc Hidden SEMI-Markov Model with State Summarization
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2019
A semantic approach to host-based intrusion detection systems using contiguousand discontiguous system call patterns
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2014
DOI: 10.1109/TC.2013.13
Learned Bloom-filter for the efficient name lookup in Information-Centric Networking
Publisher: Elsevier BV
Date: 07-2021
Attacks via record multiplicity on cancelable biometrics templates
Publisher: Wiley
Date: 30-04-2014
DOI: 10.1002/CPE.3042
PolyCosGraph: A Privacy-Preserving Cancelable EEG Biometric System
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2023
Highly efficient one-time pad key generation for large volume medical data protection
Publisher: IEEE
Date: 06-2010
Simulatable oblivious transfer protocols based on blind signature
Publisher: IEEE
Date: 06-2012
Intrinsically Motivated Hierarchical Policy Learning in Multiobjective Markov Decision Processes
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2021
SOLS: A scheme for outsourced location based service
Publisher: Elsevier BV
Date: 10-2015
A robust contactless fingerprint enhancement algorithm
Publisher: Springer International Publishing
Date: 2018
Global Ridge Orientation Modeling for Partial Fingerprint Identification
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2011
An approach for host-based intrusion detection system design using convolutional neural network
Publisher: Springer International Publishing
Date: 2018
Partial fingerprint indexing: a combination of local and reconstructed global features
Publisher: Wiley
Date: 30-07-2016
DOI: 10.1002/CPE.3600
Quantum authentication scheme based on fingerprint-encoded graph states
Publisher: Springer International Publishing
Date: 2018
Correlation Keystroke Verification Scheme for User Access Control in Cloud Computing Environment
Publisher: Oxford University Press (OUP)
Date: 29-07-2011
Designing anomaly detection system for cloud servers by frequency domain features of system call identifiers and machine learning
Publisher: Springer International Publishing
Date: 2018
Attacking Anonymous Web Browsing at Local Area Networks Through Browsing Dynamics
Publisher: Oxford University Press (OUP)
Date: 18-07-2011
Fossil avian eggshell preserves ancient DNA
Publisher: The Royal Society
Date: 10-03-2010
Abstract: Owing to exceptional biomolecule preservation, fossil avian eggshell has been used extensively in geochronology and palaeodietary studies. Here, we show, to our knowledge, for the first time that fossil eggshell is a previously unrecognized source of ancient DNA (aDNA). We describe the successful isolation and lification of DNA from fossil eggshell up to 19 ka old. aDNA was successfully characterized from eggshell obtained from New Zealand (extinct moa and ducks), Madagascar (extinct elephant birds) and Australia (emu and owl). Our data demonstrate excellent preservation of the nucleic acids, evidenced by retrieval of both mitochondrial and nuclear DNA from many of the s les. Using confocal microscopy and quantitative PCR, this study critically evaluates approaches to maximize DNA recovery from powdered eggshell. Our quantitative PCR experiments also demonstrate that moa eggshell has approximately 125 times lower bacterial load than bone, making it a highly suitable substrate for high-throughput sequencing approaches. Importantly, the preservation of DNA in Pleistocene eggshell from Australia and Holocene deposits from Madagascar indicates that eggshell is an excellent substrate for the long-term preservation of DNA in warmer climates. The successful recovery of DNA from this substrate has implications in a number of scientific disciplines most notably archaeology and palaeontology, where genotypes and/or DNA-based species identifications can add significantly to our understanding of diets, environments, past bio ersity and evolutionary processes.
An Efficient Mobile Voting System Security Scheme Based on Elliptic Curve Cryptography
Publisher: IEEE
Date: 2009
DOI: 10.1109/NSS.2009.57
A general transformation from KP-ABE to searchable encryption
Publisher: Elsevier BV
Date: 2014
A survey: Error control methods used in bio-cryptography
Publisher: IEEE
Date: 08-2014
Identity-based group encryption
Publisher: Springer International Publishing
Date: 2016
A benchmark 3D fingerprint database
Publisher: IEEE
Date: 08-2014
Efficient Identity-Based Data Integrity Auditing with Key-Exposure Resistance for Cloud Storage
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2022
Alignment-free cancelable fingerprint template design: A densely infinite-to-one mapping (DITOM) approach
Publisher: Elsevier BV
Date: 12-2012
A statistical framework for intrusion detection system
Publisher: IEEE
Date: 08-2014
Multi-Resolution Weed Classification via Convolutional Neural Network and Superpixel Based Local Binary Pattern Using Remote Sensing Images
Publisher: MDPI AG
Date: 17-07-2019
DOI: 10.3390/RS11141692
Abstract: Automatic weed detection and classification faces the challenges of large intraclass variation and high spectral similarity to other vegetation. With the availability of new high-resolution remote sensing data from various platforms and sensors, it is possible to capture both spectral and spatial characteristics of weed species at multiple scales. Effective multi-resolution feature learning is then desirable to extract distinctive intensity, texture and shape features of each category of weed to enhance the weed separability. We propose a feature extraction method using a Convolutional Neural Network (CNN) and superpixel based Local Binary Pattern (LBP). Both middle and high level spatial features are learned using the CNN. Local texture features from superpixel-based LBP are extracted, and are also used as input to Support Vector Machines (SVM) for weed classification. Experimental results on the hyperspectral and remote sensing datasets verify the effectiveness of the proposed method, and show that it outperforms several feature extraction approaches.
Biometric Mobile Template Protection: A Composite Feature Based Fingerprint Fuzzy Vault
Publisher: IEEE
Date: 06-2009
A fast terminal sliding mode observer for TCP/IP network anomaly traffic detection
Publisher: IEEE
Date: 03-2015
Wireless interactive teaching by using keypad-based ARS
Publisher: IGI Global
Date: 2006
DOI: 10.4018/978-1-59140-947-2.CH014
Abstract: Lecturing large classes in tertiary education is always a challenge one of the most difficult tasks being how to gauge students’ understanding. Introducing interactivity can alleviate this problem by providing instant feedback that enables the lecturer to clarify problematical points. This is even more crucial and challenging when lecturing to large classes with students from many different cultural backgrounds. This chapter reports the authors’ experience with a wireless keypad-based system in different classrooms. New deployment strategies used in this project, and educational foundationson which they were based, are explained. The environment and the experience of using the technology from the educator’s viewpoint are also described. Student feedback is also discussed, and improvements for future use are also proposed.
A Delaunay triangle group based fuzzy vault with cancellability
Publisher: IEEE
Date: 12-2013
A Hadamard transform-based method for the design of cancellable fingerprint templates
Publisher: IEEE
Date: 12-2013
Local Region Proposing for Frame-Based Vehicle Detection in Satellite Videos
Publisher: MDPI AG
Date: 12-10-2019
DOI: 10.3390/RS11202372
Abstract: Current new developments in remote sensing imagery enable satellites to capture videos from space. These satellite videos record the motion of vehicles over a vast territory, offering significant advantages in traffic monitoring systems over ground-based systems. However, detecting vehicles in satellite videos are challenged by the low spatial resolution and the low contrast in each video frame. The vehicles in these videos are small, and most of them are blurred into their background regions. While region proposals are often generated for efficient target detection, they have limited performance on satellite videos. To meet this challenge, we propose a Local Region Proposing approach (LRP) with three steps in this study. A video frame is segmented into semantic regions first and possible targets are then detected in these coarse scale regions. A discrete Histogram Mixture Model (HistMM) is proposed in the third step to narrow down the region proposals by quantifying their likelihoods towards the target category, where the training is conducted on positive s les only. Experiment results demonstrate that LRP generates region proposals with improved target recall rates. When a slim Fast-RCNN detector is applied, LRP achieves better detection performance over the state-of-the-art approaches tested.
Smart Meter Data Obfuscation With a Hybrid Privacy-Preserving Data Publishing Scheme Without a Trusted Third Party
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2022
Designing false data injection attacks penetrating AC‐based bad data detection system and FDI dataset generation
Publisher: Wiley
Date: 17-08-2022
DOI: 10.1002/CPE.5956
Abstract: The evolution of the traditional power system toward the modern smart grid has posed many new cybersecurity challenges to this critical infrastructure. One of the most dangerous cybersecurity threats is the false data injection (FDI) attack, especially when it is capable of completely bypassing the widely deployed bad data detector of state estimation (SE) and interrupting the normal operation of the power system. Most of the simulated FDI attacks are designed using a simplified linearized DC model, while most of the industry‐standard SE systems are based on the nonlinear AC model. In this article, a comprehensive FDI attack scheme is presented based on the nonlinear AC model. A case study of the nine‐bus Western System Coordinated Council (WSCC)'s power system is provided, using an industry‐standard package to assess the outcomes of the proposed design scheme. A public FDI dataset is generated as a test set for the community to develop and evaluate new detection algorithms, which are lacking in the field. The FDI's stealthy quality of the dataset is assessed and proven through a preliminary analysis based on both physical power law and statistical analysis.
Biometric authentication for mobile computing applications
Publisher: WORLD SCIENTIFIC
Date: 09-2011
The Exploration of Network Coding in IEEE 802.15.4 Networks
Publisher: Hindawi Limited
Date: 2011
DOI: 10.1155/2011/310647
Abstract: Wireless personal area networks (WPANs) are getting popular in a variety of fields such as smart home, office automation, and e-healthcare. In WPANs, most devices are considerably energy constrained, so the communication protocol should be energy efficient. The IEEE 802.15.4 is designed as a standard protocol for low power, low data rate, low complexity, and short range connections in WPANs. The standard supports allocating several numbers of collision-free guarantee time slots (GTSs) within a superframe for some time-critical transmissions. Recently, COPE was proposed as a promising network coding architecture to essentially improve the throughput of wireless networks. In this paper, we exploit the network coding technique at coordinators to improve energy efficiency of the WPAN. Some related practical issues, such as GTS allocation and multicast, are also discussed in order to exploit the network coding opportunities efficiently. Since the coding opportunities are mostly exploited, our proposal achieves both higher energy efficiency and throughput performance than the original IEEE 802.15.4.
Double-layer secret-sharing system involving privacy preserving biometric authentication
Publisher: Institution of Engineering and Technology
Date: 30-11-2017
DOI: 10.1049/PBSE004E_CH7
A simple and efficient hidden Markov model scheme for host-based anomaly intrusion detection
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2009
Biometrics for securing mobile payments: Benefits, challenges and solutions
Publisher: IEEE
Date: 12-2013
Application of 3D Delaunay Triangulation in Fingerprint Authentication System
Publisher: Springer International Publishing
Date: 2018
A mutual-healing key distribution scheme in wireless sensor networks
Publisher: Elsevier BV
Date: 2011
Biometric security for mobile computing
Publisher: Wiley
Date: 02-02-2011
DOI: 10.1002/SEC.240
Evaluating host-based anomaly detection systems: A preliminary analysis of ADFA-LD
Publisher: IEEE
Date: 12-2013
Genetic Algorithm for distorted point set matching
Publisher: IEEE
Date: 12-2013
Recent insights into the tick microbiome gained through next-generation sequencing
Publisher: Springer Science and Business Media LLC
Date: 04-01-2018
An Efficient Privacy-Preserving Ranked Keyword Search Method
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 02-0004
Log-Based Anomaly Detection With Robust Feature Extraction and Online Learning
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2021
State estimation for a TCP/IP network using terminal sliding-mode methodology
Publisher: IEEE
Date: 10-2017
Online Structured Sparsity-Based Moving-Object Detection From Satellite Videos
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2020
Privacy-Preserving Access to Big Data in the Cloud
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2016
DOI: 10.1109/MCC.2016.107
Biometrics and Privacy-Preservation: How Do They Evolve?
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2021
A multi-module anomaly detection scheme based on system call prediction
Publisher: IEEE
Date: 06-2013
High-Order Terminal Sliding-Mode Observers for Anomaly Detection
Publisher: Springer Berlin Heidelberg
Date: 2012
Performance evaluation of 2D to 3D fingerprint recognition
Publisher: IEEE
Date: 12-2013
Welcome Message from the Program Chairs
Publisher: IEEE
Date: 2008
DOI: 10.1109/CSA.2008.5
Top-k future system call prediction based multi-module anomaly detection system
Publisher: IEEE
Date: 12-2013
Privacy-preserving big data analytics a comprehensive survey
Publisher: Elsevier BV
Date: 12-2019
Explainable artificial intelligence to evaluate industrial internal security using EEG signals in IoT framework
Publisher: Elsevier BV
Date: 12-2021
A Multi-Filter Fingerprint Matching Framework for Cancelable Template Design
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2021
Genome-wide analysis of Borrelia turcica and ‘Candidatus Borrelia tachyglossi’ shows relapsing fever-like genomes with unique genomic links to Lyme disease Borrelia
Publisher: Elsevier BV
Date: 12-2018
DOI: 10.1016/J.MEEGID.2018.09.013
Abstract: Borrelia are tick-borne bacteria that in humans are the aetiological agents of Lyme disease and relapsing fever. Here we present the first genomes of B. turcica and B. tachyglossi, members of a recently described and rapidly expanding Borrelia clade associated with reptile (B. turcica) or echidna (B. tachyglossi) hosts, transmitted by hard ticks, and of unknown pathogenicity. Borrelia tachyglossi and B. turcica genomes are similar to those of relapsing fever Borrelia species, containing a linear ~ 900 kb chromosome, a single long (> 70 kb) linear plasmid, and numerous short (< 40 kb) linear and circular plasmids, as well as a suite of housekeeping and macronutrient biosynthesis genes which are not found in Lyme disease Borrelia. Additionally, both B. tachyglossi and B. turcica contain paralogous vsp and vlp proteins homologous to those used in the multiphasic antigen-switching system used by relapsing fever Borrelia to evade vertebrate immune responses, although their number was greatly reduced compared to human-infectious species. However, B. tachyglossi and B. turcica chromosomes also contain numerous genes orthologous to Lyme disease Borrelia-specific genes, demonstrating a unique evolutionary, and potentially phenotypic link between these groups. Borrelia tachyglossi and B. turcica genomes also have unique genetic features, including degraded and deleted tRNA modification genes, and an expanded range of macronutrient salvage and biosynthesis genes compared to relapsing fever and Lyme disease Borrelia. These genomes and genomic comparisons provide an insight into the biology and evolutionary origin of these Borrelia, and provide a valuable resource for future work.
A Privacy-Preserving Biometric Authentication System With Binary Classification in a Zero Knowledge Proof Protocol
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2022
Haemoprotozoan surveillance in peri-urban native and introduced wildlife from Australia
Publisher: Elsevier BV
Date: 2021
Advances in Network and System Security: Editorial Statement
Publisher: Oxford University Press (OUP)
Date: 02-12-2011
On multiscroll chaotic attractors in hysteresis-based piecewise-linear systems
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 11-2007
A New Threat Intelligence Scheme for Safeguarding Industry 4.0 Systems
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2018
Designing Constraint-Based False Data-Injection Attacks Against the Unbalanced Distribution Smart Grids
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2021
Biometrics Based Privacy-Preserving Authentication and Mobile Template Protection
Publisher: Hindawi Limited
Date: 12-06-2018
DOI: 10.1155/2018/7107295
Abstract: Smart mobile devices are playing a more and more important role in our daily life. Cancelable biometrics is a promising mechanism to provide authentication to mobile devices and protect biometric templates by applying a noninvertible transformation to raw biometric data. However, the negative effect of nonlinear distortion will usually degrade the matching performance significantly, which is a nontrivial factor when designing a cancelable template. Moreover, the attacks via record multiplicity (ARM) present a threat to the existing cancelable biometrics, which is still a challenging open issue. To address these problems, in this paper, we propose a new cancelable fingerprint template which can not only mitigate the negative effect of nonlinear distortion by combining multiple feature sets, but also defeat the ARM attack through a proposed feature decorrelation algorithm. Our work is a new contribution to the design of cancelable biometrics with a concrete method against the ARM attack. Experimental results on public databases and security analysis show the validity of the proposed cancelable template.
An Efficient Hidden Markov Model Training Scheme for Anomaly Intrusion Detection of Server Applications Based on System Calls
Publisher: IEEE
Date: 2004
Resisting Web Proxy-Based HTTP Attacks by Temporal and Spatial Locality Behavior
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2013
A Comprehensive Survey of Privacy-preserving Federated Learning: A Taxonomy, Review, and Future Directions
Publisher: Association for Computing Machinery (ACM)
Date: 13-07-2021
DOI: 10.1145/3460427
Abstract: The past four years have witnessed the rapid development of federated learning (FL). However, new privacy concerns have also emerged during the aggregation of the distributed intermediate results. The emerging privacy-preserving FL (PPFL) has been heralded as a solution to generic privacy-preserving machine learning. However, the challenge of protecting data privacy while maintaining the data utility through machine learning still remains. In this article, we present a comprehensive and systematic survey on the PPFL based on our proposed 5W-scenario-based taxonomy. We analyze the privacy leakage risks in the FL from five aspects, summarize existing methods, and identify future research directions.
Error Bounded Foreground and Background Modeling for Moving Object Detection in Satellite Videos
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2020
Guest Editorial
Publisher: Springer Science and Business Media LLC
Date: 03-09-2011
Comment on: Gupta, 2019, distinction between Borrelia and Borreliella is more robustly supported by molecular and phenotypic characteristics than all other neighbouring prokaryotic genera: Response to
Publisher: Elsevier BV
Date: 03-2020
Statistical analysis and security estimation of fingerprint minutia local structure in bio-cryptographic system
Publisher: IEEE
Date: 06-2011
A key management scheme between body sensor networks and the base station
Publisher: IEEE
Date: 12-2013
DOI: 10.1109/CIS.2013.162
Bacterial community profiling highlights complex diversity and novel organisms in wildlife ticks
Publisher: Cold Spring Harbor Laboratory
Date: 17-10-2019
DOI: 10.1101/807131
Abstract: Ticks (Acari: Ixodida) transmit a greater variety of pathogens than any other blood-feeding group of arthropods. While numerous microbes have been identified inhabiting Australian Ixodidae, some of which are related to globally important tick-borne pathogens, little is known about the bacterial communities within ticks collected from Australian wildlife. In this study, 1,019 ticks were identified on 221 hosts spanning 27 wildlife species. Next-generation sequencing was used to lify the V1-2 hypervariable region of the bacterial 16S rRNA gene from 238 ticks Amblyomma triguttatum (n=6), Bothriocroton auruginans (n=11), Bothriocroton concolor (n=20), Haemaphysalis bancrofti (n=10), Haemaphysalis bremneri (n=4), Haemaphysalis humerosa (n=13) , Haemaphysalis longicornis (n=4), Ixodes antechini (n=29), Ixodes australiensis (n=26), Ixodes fecialis (n=13), Ixodes holocyclus (n=37), Ixodes myrmecobii ( n =1), Ixodes ornithorhynchi (n=10), Ixodes tasmani (n=51) and Ixodes trichosuri (n=3). After bioinformatic analyses, over 14 million assigned bacterial sequences revealed the presence of recently described bacteria ‘ Candidatus Borrelia tachyglossi’, ‘ Candidatus Neoehrlichia australis’, ‘ Candidatus Neoehrlichia arcana’ and ‘ Candidatus Ehrlichia ornithorhynchi’. Furthermore, three novel Anaplasmataceae species were identified in the present study including a Neoehrlichia sp. in I. australiensis and I. fecialis collected from quenda ( Isoodon fusciventer ) (Western Australia), an Anaplasma sp. from one B. concolor from echidna ( Tachyglossus aculeatus ) (New South Wales), and an Ehrlichia sp. from a single I. fecialis parasitising a quenda (WA). This study highlights the ersity of bacterial genera harboured within wildlife ticks, which may prove to be of medical and/or veterinary importance in the future.
Efficient object proposals extraction for target detection in VHR remote sensing images
Publisher: IEEE
Date: 07-2017
Using incremental subspace and contour template for object tracking
Publisher: Elsevier BV
Date: 11-2012
A delaunay quadrangle-based fingerprint authentication system with template protection using topology code for local registration and security enhancement
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2014
String-based cancelable fingerprint templates
Publisher: IEEE
Date: 06-2011
Energy Big Data Analytics and Security: Challenges and Opportunities
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2016
Compatibility of photographed images with touch-based fingerprint verification software
Publisher: IEEE
Date: 06-2011
An alignment free fingerprint fuzzy extractor using near-equivalent Dual Layer Structure Check (NeDLSC) algorithm
Publisher: IEEE
Date: 06-2011
Cryptosporidium species and subtypes in animals inhabiting drinking water catchments in three states across Australia
Publisher: Elsevier BV
Date: 05-2018
DOI: 10.1016/J.WATRES.2018.02.005
Abstract: As part of long-term monitoring of Cryptosporidium in water catchments serving Western Australia, New South Wales (Sydney) and Queensland, Australia, we characterised Cryptosporidium in a total of 5774 faecal s les from 17 known host species and 7 unknown bird s les, in 11 water catchment areas over a period of 30 months (July 2013 to December 2015). All s les were initially screened for Cryptosporidium spp. at the 18S rRNA locus using a quantitative PCR (qPCR). Positives s les were then typed by sequence analysis of an 825 bp fragment of the 18S gene and subtyped at the glycoprotein 60 (gp60) locus (832 bp). The overall prevalence of Cryptosporidium across the various hosts s led was 18.3% (1054/5774 95% CI, 17.3-19.3). Of these, 873 s les produced clean Sanger sequencing chromatograms, and the remaining 181 s les, which initially produced chromatograms suggesting the presence of multiple different sequences, were re-analysed by Next- Generation Sequencing (NGS) to resolve the presence of Cryptosporidium and the species composition of potential mixed infections. The overall prevalence of confirmed mixed infection was 1.7% (98/5774), and in the remaining 83 s les, NGS only detected one species of Cryptosporidium. Of the 17 Cryptosporidium species and four genotypes detected (Sanger sequencing combined with NGS), 13 are capable of infecting humans C. parvum, C. hominis, C. ubiquitum, C. cuniculus, C. meleagridis, C. canis, C. felis, C. muris, C. suis, C. scrofarum, C. bovis, C. erinacei and C. fayeri. Oocyst numbers per gram of faeces (g
Continuous authentication using EEG and face images for trusted autonomous systems
Publisher: IEEE
Date: 12-2016
A novel statistical technique for intrusion detection systems
Publisher: Elsevier BV
Date: 02-2018
A forward-backward algorithm for nested hidden semi-markov model and application to network traffic
Publisher: Oxford University Press (OUP)
Date: 05-09-2013
Design of Alignment-Free Cancelable Fingerprint Templates with Zoned Minutia Pairs
Publisher: Elsevier BV
Date: 06-2017
A fingerprint orientation model based on 2D Fourier expansion (FOMFE) and its application to singular-point detection and fingerprint indexing
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2007
Bacterial profiling reveals novel ca. Neoehrlichia, Ehrlichia, and anaplasma species in australian human-biting ticks
Publisher: Public Library of Science (PLoS)
Date: 28-12-2015
Vulnerability analysis of iPhone 6
Publisher: IEEE
Date: 12-2016
Estimating ridge topologies with high curvature for fingerprint authentication systems
Publisher: IEEE
Date: 06-2007
DOI: 10.1109/ICC.2007.200
Data Integrity Auditing without Private Key Storage for Secure Cloud Storage
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2021
Generation of reliable PINs from fingerprints
Publisher: IEEE
Date: 06-2007
DOI: 10.1109/ICC.2007.202
A pixel-based scrambling scheme for digital medical images protection
Publisher: Elsevier BV
Date: 07-2009
FE-SViT
Publisher: Association for Computing Machinery (ACM)
Date: 02-08-2016
DOI: 10.1145/2930669
Abstract: As a promising bio-cryptographic technique, the fuzzy extractor seamlessly binds biometrics and cryptography for template protection and key generation. However, most existing methods hardly solve the following issues simultaneously: (1) Fingerprint registration, (2) Verification accuracy, (3) Security strength, and (4) Computational efficiency. In this article, we introduce a bio-crypto-oriented fingerprint verification scheme - Selective Vertex-indexed Triangulation (SViT) which maps minutia global topology to local triangulation with minimum information loss. Then, a SViT-based fuzzy extractor framework (FE-SViT) is proposed and high verification accuracy is achieved. The FE-SViT is highly parallelizable and efficient which makes it suitable for embedded devices.
Windows Based Data Sets for Evaluation of Robustness of Host Based Intrusion Detection Systems (IDS) to Zero-Day and Stealth Attacks
Publisher: MDPI AG
Date: 05-07-2016
DOI: 10.3390/FI8030029
An Anonymous Reputation Management System for Mobile Crowdsensing Based on Dual Blockchain
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2022
NDTC: A novel topology-based fingerprint matching algorithm using N-layer Delaunay triangulation net check
Publisher: IEEE
Date: 07-2012
Security and privacy in Internet of things: methods, architectures, and solutions
Publisher: Wiley
Date: 27-06-2016
DOI: 10.1002/SEC.1497
Teacher self-efficacy and reform
Publisher: Springer Science and Business Media LLC
Date: 20-04-2023
DOI: 10.1007/S13384-022-00526-3
Abstract: Teacher self-efficacy (TSE) of pre-service and in-service teachers plays a significant role in the successful implementation of educational reforms. The purpose of this systematic literature review is to explore the interaction between curriculum and/or assessment reform and TSE. Twenty-nine empirical research studies are analysed to find factors that impact TSE during change and the support mechanisms necessary to maintain high TSE. Using the Systematic Quantitative Literature Review method coupled with Social Cognitive Theory and Sources of Self-efficacy, studies reported that environmental determinants lower TSE during reform. It was found that to support high TSE professional learning was a necessity.
Outsourced Decentralized Multi-Authority Attribute Based Signature and Its Application in IoT
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2021
The genus Borrelia reloaded
Publisher: Public Library of Science (PLoS)
Date: 26-12-2018
EEG-based biometrics for person identification and continuous authentication
Publisher: Institution of Engineering and Technology
Date: 12-04-2018
New secure healthcare system using cloud of things
Publisher: Springer Science and Business Media LLC
Date: 05-05-2017
Inhibition of the endosymbiont Candidatus Midichloria mitochondrii during 16S rRNA gene profiling reveals potential pathogens in Ixodes ticks from Australia
Publisher: Springer Science and Business Media LLC
Date: 25-06-2015
Performance Analysis of Optimal Packet Size for Congestion Control in Wireless Sensor Networks
Publisher: IEEE
Date: 07-2010
DOI: 10.1109/NCA.2010.37
Preserving transaction privacy in bitcoin
Publisher: Elsevier BV
Date: 06-2020
Cancelable fingerprint templates with Delaunay triangle-based local structures
Publisher: Springer International Publishing
Date: 2013
Self-Healing Key Distribution Schemes for Wireless Networks: A Survey
Publisher: Oxford University Press (OUP)
Date: 20-03-2011
An IoT-Oriented Privacy-Preserving Fingerprint Authentication System
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 15-07-2022
Breaking the Anonymity of Ethereum Mixing Services Using Graph Feature Learning
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
An Efficient Self-Healing Key Distribution Scheme with Constant-Size Personal Keys for Wireless Sensor Networks
Publisher: IEEE
Date: 05-2010
Enhancing big data security with collaborative intrusion detection
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2014
DOI: 10.1109/MCC.2014.53
Contrast Enhancement of Multiple Tissues in MR Brain Images With Reversibility
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2021
Seamless integration of dependability and security concepts in SOA: A feedback control system based framework and taxonomy
Publisher: Elsevier BV
Date: 07-2011
BROSMAP: A novel broadcast based secure mobile agent protocol for distributed service applications
Publisher: Hindawi Limited
Date: 2017
DOI: 10.1155/2017/3606424
Abstract: Mobile agents are smart programs that migrate from one platform to another to perform the user task. Mobile agents offer flexibility and performance enhancements to systems and service real-time applications. However, security in mobile agent systems is a great concern. In this paper, we propose a novel Broadcast based Secure Mobile Agent Protocol (BROSMAP) for distributed service applications that provides mutual authentication, authorization, accountability, nonrepudiation, integrity, and confidentiality. The proposed system also provides protection from man in the middle, replay, repudiation, and modification attacks. We proved the efficiency of the proposed protocol through formal verification with Scyther verification tool.
A hierarchical clustering method for big data oriented ciphertext search
Publisher: IEEE
Date: 04-2014
Segment-Based Anomaly Detection with Approximated Sample Covariance Matrix in Wireless Sensor Networks
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 02-2015
Knowledge Transfer via Convolution Neural Networks for Multi-Resolution Lawn Weed Classification
Publisher: IEEE
Date: 09-2019
An Integrated Framework for Privacy-Preserving Based Anomaly Detection for Cyber-Physical Systems
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2021
Molecular identification of the Trypanosoma (Herpetosoma) lewisi clade in black rats (Rattus rattus) from Australia
Publisher: Springer Science and Business Media LLC
Date: 20-03-2019
Generating realistic intrusion detection system dataset based on fuzzy qualitative modeling
Publisher: Elsevier BV
Date: 06-2017
A Multistaged Automatic Restoration of Noisy Microscopy Cell Images
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2015
A survey of network anomaly detection techniques
Publisher: Elsevier BV
Date: 2016
Preface of the workshop on computational intelligence and cyber security
Publisher: AIP
Date: 2012
DOI: 10.1063/1.4756447
Molecular analysis of cryptosporidiosis cases in Western Australia in 2019 and 2020 supports the occurrence of two swimming pool associated outbreaks and reveals the emergence of a rare C. hominis IbA
Publisher: Elsevier BV
Date: 08-2021
DOI: 10.1016/J.MEEGID.2021.104859
Abstract: Cryptosporidium is an important protozoan parasite and due to its resistance to chlorine is a major cause of swimming pool-associated gastroenteritis outbreaks. The present study combined contact tracing and molecular techniques to analyse cryptosporidiosis cases and outbreaks in Western Australia in 2019 and 2020. In the 2019 outbreak, subtyping at the 60 kDa glycoprotein (gp60) gene identified 89.0% (16/18) of s les were caused by the C. hominis IdA15G1 subtype. Amplicon next generation sequencing (NGS) at the gp60 locus identified five C. hominis IdA15G1 subtype s les that also had C. hominis IdA14 subtype DNA, while multi locus sequence typing (MLST) analysis on a subset (n = 14) of C. hominis s les identified three IdA15G1 s les with a 6 bp insertion at the end of the trinucleotide repeat region of the cp47 gene. In 2020, 88.0% (73/83) of s les typed were caused by the relatively rare C. hominis subtype IbA12G3. Four mixed infections were observed by NGS with three IdA15G1/ IdA14 mixtures and one C. parvum IIaA18G3R1 s le mixed with IIaA16G3R1. No genetic ersity using MLST was detected. Epidemiological and molecular data indicates that the outbreaks in 2019 and 2020 were each potentially from swimming pool point sources and a new C. hominis subtype IbA12G3 is emerging in Australia. The findings of the present study are important for understanding the introduction and transmission of rare Cryptosporidium subtypes to vulnerable populations.
A Novel Length-Flexible Lightweight Cancelable Fingerprint Template for Privacy-Preserving Authentication Systems in Resource-Constrained IoT Applications
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
A frequency domain subspace blind channel estimation method for trailing zero OFDM systems
Publisher: Elsevier BV
Date: 2011
A hierarchical pea-based anomaly detection model
Publisher: IEEE
Date: 2013
A cloud security assessment system based on classifying and grading
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2015
DOI: 10.1109/MCC.2015.34
Alignment-Free Cancellable Template with Clustered-Minutiae Local Structure
Publisher: IEEE
Date: 12-2018
Retrospective analysis of Cryptosporidium species in Western Australian human populations (2015–2018), and emergence of the C. hominis IfA12G1R5 subtype
Publisher: Elsevier BV
Date: 09-2019
DOI: 10.1016/J.MEEGID.2019.05.018
Abstract: Cryptosporidium species are a major cause of diarrhoea worldwide. In the present study, a retrospective analysis of 109 microscopically Cryptosporidium-positive faecal specimens from Western Australian patients, collected between 2015 and 2018 was conducted. Sequence analysis of the 18S rRNA and the 60 kDa glycoprotein (gp60) gene loci identified four Cryptosporidium species: C. hominis (86.2%, 94/109), C. parvum (11.0%, 12/109), C. meleagridis (1.8%, 2/109) and C. viatorum (0.9%, 1/109). Subtyping at the gp60 locus identified a total of 11 subtypes including the emergence of the previously rare C. hominis IfA12G1R5 subtype in 2017 as the dominant subtype (46.7%, 21/45). This subtype has also recently emerged as the dominant subtype in the United States but the reasons for its emergence are unknown. This is also the first report of C. viatorum in humans in Australia and a novel subtype (XVaA3g) was identified in the one positive patient.
A New Biocryptosystem-Oriented Security Analysis Framework and Implementation of Multibiometric Cryptosystems Based on Decision Level Fusion
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2015
Secure joint Bitcoin trading with partially blind fuzzy signatures
Publisher: Springer Science and Business Media LLC
Date: 29-12-2017
On Cost-Efficient Sensor Placement for Contaminant Detection in Water Distribution Systems
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-0012
Fair and smart spectrum allocation scheme for IIoT based on blockchain
Publisher: Elsevier BV
Date: 12-2021
Advances in network and system security
Publisher: Wiley
Date: 29-02-2012
DOI: 10.1002/CPE.2810
Automatic barcode gap discovery reveals large COI intraspecific divergence in Australian ixodidae
Publisher: Magnolia Press
Date: 14-08-2019
DOI: 10.11646/ZOOTAXA.4656.2.13
Abstract: Ticks (Ixodida) are haematophagous arthropods that transmit a number of pathogenic organisms, including bacteria, protozoa and viruses, to humans and animals. Globally, there are over 900 species of ticks and Australia has 73 described species, including five introduced and 68 native species. With the exception of only a few Australian tick species, there are still many unanswered questions regarding their taxonomy and systematics, and the phylogeny of Australian ticks is not properly resolved. In recent years, a putative link between tick bites and poorly defined tick-borne illness(es) has been identified (Graves & Stenos 2017) and was the subject of a 2015 Australian Senate Inquiry into Lyme-like illnesses in Australia. There is an urgent need to further categorise Australian ticks, specifically hard ticks (Ixodidae), and accurate identification of Australian ticks is therefore of high importance.
A target image–oriented dictionary learning–based method for fully automated latent fingerprint forensic
Publisher: Wiley
Date: 08-05-2018
DOI: 10.1111/COIN.12177
Molecular investigation into the presence of a Coxiella sp. in Rhipicephalus sanguineus ticks in Australia
Publisher: Elsevier BV
Date: 03-2017
DOI: 10.1016/J.VETMIC.2017.01.021
Abstract: Q fever is an infectious disease with a global distribution caused by the intracellular bacterium, Coxiella burnetii, which has been detected in a large number of tick species worldwide, including the brown dog tick, Rhipicephalus sanguineus. Recent reports of a high seroprevalance of C. burnetii in Australian dogs, along with the identification of additional Coxiella species within R. sanguineus ticks, has prompted an investigation into the presence and identification of Coxiella species in R. sanguineus ticks in Australia. Using a combination of C. burnetii species-specific IS1111a transposase gene and Coxiella genus-specific 16S rRNA PCR assays, a Coxiella sp. was identified in 100% (n=199) of R. sanguineus ticks analysed, and C. burnetii was not detected in any R. sanguineus ticks studied. Phylogenetic analysis of the 16S rRNA gene revealed the Coxiella sequences were closely related to Coxiella sp. identified previously in R. sanguineus and R. turanicus ticks overseas. This study illustrates the value of using genus specific PCR assays to detect previously unreported bacterial species. Furthermore, the presence of an additional Coxiella sp. in Australia requires further investigation into its potential for contributing to serological cross-reactions during Q fever testing.
Batch Public Key Cryptosystem with batch multi-exponentiation
Publisher: Elsevier BV
Date: 09-2016
An alignment-free fingerprint bio-cryptosystem based on modified Voronoi neighbor structures
Publisher: Elsevier BV
Date: 03-2014
Reliable Bulk-Data Dissemination in Delay Tolerant Networks
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-2014
Molecular surveillance of piroplasms in ticks from small and medium-sized urban and peri-urban mammals in Australia
Publisher: Elsevier BV
Date: 08-2018
A robust policy bootstrapping algorithm for multi-objective reinforcement learning in non-stationary environments
Publisher: SAGE Publications
Date: 15-08-2020
Abstract: Multi-objective Markov decision processes are a special kind of multi-objective optimization problem that involves sequential decision making while satisfying the Markov property of stochastic processes. Multi-objective reinforcement learning methods address this kind of problem by fusing the reinforcement learning paradigm with multi-objective optimization techniques. One major drawback of these methods is the lack of adaptability to non-stationary dynamics in the environment. This is because they adopt optimization procedures that assume stationarity in order to evolve a coverage set of policies that can solve the problem. This article introduces a developmental optimization approach that can evolve the policy coverage set while exploring the preference space over the defined objectives in an online manner. We propose a novel multi-objective reinforcement learning algorithm that can robustly evolve a convex coverage set of policies in an online manner in non-stationary environments. We compare the proposed algorithm with two state-of-the-art multi-objective reinforcement learning algorithms in stationary and non-stationary environments. Results showed that the proposed algorithm significantly outperforms the existing algorithms in non-stationary environments while achieving comparable results in stationary environments.
Blood Parasites in Endangered Wildlife-Trypanosomes Discovered during a Survey of Haemoprotozoa from the Tasmanian Devil
Publisher: MDPI AG
Date: 23-10-2020
Abstract: The impact of emerging infectious diseases is increasingly recognised as a major threat to wildlife. Wild populations of the endangered Tasmanian devil, Sarcophilus harrisii, are experiencing devastating losses from a novel transmissible cancer, devil facial tumour disease (DFTD) however, despite the rapid decline of this species, there is currently no information on the presence of haemoprotozoan parasites. In the present study, 95 Tasmanian devil blood s les were collected from four populations in Tasmania, Australia, which underwent molecular screening to detect four major groups of haemoprotozoa: (i) trypanosomes, (ii) piroplasms, (iii) Hepatozoon, and (iv) haemosporidia. Sequence results revealed Trypanosoma infections in 32/95 in iduals. Trypanosoma copemani was identified in 10 Tasmanian devils from three sites and a second Trypanosoma sp. was identified in 22 in iduals that were grouped within the poorly described T. cyclops clade. A single blood s le was positive for Babesia sp., which most closely matched Babesia lohae. No other blood protozoan parasite DNA was detected. This study provides the first insight into haemoprotozoa from the Tasmanian devil and the first identification of Trypanosoma and Babesia in this carnivorous marsupial.
Design of alignment-free cancelable fingerprint templates via curtailed circular convolution
Publisher: Elsevier BV
Date: 03-2014
Using game theory with intrinsic motivation to examine anti-hacking policies for autonomous systems
Publisher: IEEE
Date: 12-2017
A Subgrid-Oriented Privacy-Preserving Microservice Framework Based on Deep Neural Network for False Data Injection Attack Detection in Smart Grids
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2022
Molecular identification of the Trypanosoma (Herpetosoma) lewisi clade in black rats (Rattus rattus) from Australia
Publisher: Cold Spring Harbor Laboratory
Date: 05-11-2019
DOI: 10.1101/819060
Abstract: Invasive rodent species are known hosts for a erse range of infectious microorganisms and have long been associated with the spread of disease globally. The present study describes molecular evidence for the presence of a Trypanosoma sp. from black rats ( Rattus rattus ) in northern Sydney, Australia. Sequences of the 18S ribosomal RNA (rRNA) locus were obtained in two out of eleven (18%) blood s les with subsequent phylogenetic analysis confirming the identity within the Trypanosoma lewisi clade.
Securing Mobile Healthcare Data: A Smart Card Based Cancelable Finger-Vein Bio-Cryptosystem
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2018
Fingerprint indexing based on combination of novel minutiae triplet features
Publisher: Springer International Publishing
Date: 2014
Content-based multi-source encrypted image retrieval in clouds with privacy preservation
Publisher: Elsevier BV
Date: 08-2020
Confidentiality-Preserving Publicly Verifiable Computation
Publisher: World Scientific Pub Co Pte Lt
Date: 09-2017
DOI: 10.1142/S0129054117400196
Abstract: Cloud computing enables users to outsource complicated computational tasks to a commercial computing server and relieves the users from establishing and maintaining expensive local computation systems. In this scenario, the minimum security requirement is that the result returned by the server must be correct. Publicly verifiable computation (PVC) has been proposed to address this issue by allowing the computational result to be publicly verifiable. Observing that computational tasks are usually private business in practice, we propose a confidentiality-preserving security tool referred to as confidentiality-preserving publicly verifiable computation (CP-PVC), to efficiently address the scenario where a client would like to outsource a computational task to a cloud server but does not possess the input value locally. The CP-PVC allows the client to delegate the outsourcing computational task to anyone authorized and keeps the computational result confidential to anyone except the client, while not sacrificing the property of public verifiability. We propose a CP-PVC construction based on any one-key secure attribute-based encryption (ABE). Our construction is general as known ABE schemes are all one-key secure. Analysis shows that our CP-PVC scheme achieves computational result privacy without any significant extra cost and is almost as efficient as the up-to-date PVC schemes. These features render our CP-PVC as a practical and widely applicable tool to secure cloud computing.
Generating cancelable biometrie templates using a projection line
Publisher: IEEE
Date: 12-2010
Threat-Event Detection for Distributed Networks Based on Spatiotemporal Markov Random Field
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2022
Threshold Attribute-Based Signcryption in Standard Model
Publisher: IEEE
Date: 11-2016
Decentralized IoT Resource Monitoring and Scheduling Framework Based on Blockchain
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2022
A Survey on Privacy-Preserving Blockchain Systems (PPBS) and a Novel PPBS-Based Framework for Smart Agriculture
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2021
An embedded DSP hardware encryption module for secure e-commerce transactions
Publisher: Wiley
Date: 28-08-2011
DOI: 10.1002/SEC.221
Real-Time Malicious Traffic Detection With Online Isolation Forest Over SD-WAN
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
Superpixel-Based Graphical Model for Remote Sensing Image Mapping
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 11-2015
Integer Data Zero-Watermark Assisted System Calls Abstraction and Normalization for Host Based Anomaly Detection Systems
Publisher: IEEE
Date: 11-2016
A structural approach for modelling the hierarchical dynamic process of Web workload in a large-scale campus network
Publisher: Elsevier BV
Date: 11-2012
Uncertainty-Aware Forward Correction for Weakly Supervised Solar Panel Mapping From High-Resolution Aerial Images
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2022
A Review on Security Issues and Solutions of the Internet of Drones
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2022
A New Dimensionality Reduction Algorithm for Hyperspectral Image Using Evolutionary Strategy
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 11-2012
Impact of trivial quantisation on discrimination power in biometric systems
Publisher: Institution of Engineering and Technology (IET)
Date: 08-2015
DOI: 10.1049/EL.2015.1349
A chaos-based encryption technique to protect ECG packets for time critical telecardiology applications
Publisher: Wiley
Date: 03-08-2011
DOI: 10.1002/SEC.226
Physiological-Signal-Based Key Negotiation Protocols for Body Sensor Networks: A Survey
Publisher: IEEE
Date: 03-2015
A fingerprint based bio-cryptographic security protocol designed for client/server authentication in mobile computing environment
Publisher: Wiley
Date: 03-12-2011
DOI: 10.1002/SEC.225
A Multi-layer Model for Anomaly Intrusion Detection Using Program Sequences of System Calls
Publisher: IEEE
Date: 2003
An energy efficient key management scheme for body sensor networks
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 11-2013
Contactless Fingerprint Recognition Based on Global Minutia Topology and Loose Genetic Algorithm
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2020
A Survey and Ontology of Blockchain Consensus Algorithms for Resource-Constrained IoT Systems
Publisher: MDPI AG
Date: 26-10-2022
DOI: 10.3390/S22218188
Abstract: The basic properties of blockchain, such as decentralization, security, and immutability, show promising potential for IoT applications. The main feature—decentralization of blockchain technology—depends on the consensus. However, consensus algorithms are mostly designed to work in extensive computational and communication environments for network security and immutability, which is not desirable for resource-restricted IoT applications. Many solutions are proposed to address this issue with modified consensus algorithms based on the legacy consensus, such as the PoW, PoS, and BFT, and new non-linear data structures, such as DAG. A systematic classification and analysis of various techniques in the field will be beneficial for both researchers and industrial practitioners. Most existing relevant surveys provide classifications intuitively based on the domain knowledge, which are infeasible to reveal the intrinsic and complicated relationships among the relevant basic concepts and techniques. In this paper, a powerful tool of systematic knowledge classification and explanation is introduced to structure the survey on blockchain consensus algorithms for resource-constrained IoT systems. More specifically, an ontology was developed for a consensus algorithm apropos of IoT adaptability. The developed ontology is sub ided into two parts—CONB and CONIoT—representing the classification of generic consensus algorithms and the ones that are particularly proposed for IoT, respectively. Guided by this ontology, an in depth discussion and analysis are provided on the major consensus algorithms and their IoT compliance based on design and implementation targets. Open research challenges and future research directions are provided.
Cancellable Template Design for Privacy-Preserving EEG Biometric Authentication Systems
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2022
A new adaptive trust and reputation model for Mobile Agent Systems
Publisher: Elsevier BV
Date: 12-2018
A pitfall in fingerprint features extraction
Publisher: IEEE
Date: 12-2010
Physiological-signal-based key negotiation protocols for body sensor networks: A survey
Publisher: Elsevier BV
Date: 06-2016
Effective and Robust Physical-World Attacks on Deep Learning Face Recognition Systems
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2021
Confidentiality-Preserving Publicly Verifiable Computation Schemes for Polynomial Evaluation and Matrix-Vector Multiplication
Publisher: Hindawi Limited
Date: 21-06-2018
DOI: 10.1155/2018/5275132
Abstract: With the development of cloud services, outsourcing computation tasks to a commercial cloud server has drawn attention of various communities, especially in the Big Data era. Public verifiability offers a flexible functionality in real circumstance where the cloud service provider (CSP) may be untrusted or some malicious users may slander the CSP on purpose. However, sometimes the computational result is sensitive and is supposed to remain undisclosed in the public verification phase, while existing works on publicly verifiable computation (PVC) fail to achieve this requirement. In this paper, we highlight the property of result confidentiality in publicly verifiable computation and present confidentiality-preserving public verifiable computation (CP-PVC) schemes for multivariate polynomial evaluation and matrix-vector multiplication, respectively. The proposed schemes work efficiently under the amortized model and, compared with previous PVC schemes for these computations, achieve confidentiality of computational results, while maintaining the property of public verifiability. The proposed schemes proved to be secure, efficient, and result-confidential. In addition, we provide the algorithms and experimental simulation to show the performance of the proposed schemes, which indicates that our proposal is also acceptable in practice.
Recognizing the content types of network traffic based on a hybrid DNN-HMM model
Publisher: Elsevier BV
Date: 09-0008
Corrigendum to “Bacterial community profiling highlights complex diversity and novel organisms in wildlife ticks” [Ticks Tick Borne Dis. 11 (3) (2020) 101407] (Ticks and Tick-borne Diseases (2020) 11(3), (S1877959X19304170), (10.1016/j.ttbdis.2020.101407))
Publisher: Elsevier BV
Date: 09-2020
Free Search with Adaptive Differential Evolution Exploitation and Quantum-Inspired Exploration
Publisher: Elsevier BV
Date: 05-2012
Performance evaluation of large 3D fingerprint databases
Publisher: Institution of Engineering and Technology (IET)
Date: 07-2014
DOI: 10.1049/EL.2014.1927
A statistics based design of MAC protocols with distributed collision resolution for ad hoc networks
Publisher: IEEE
Date: 2005
Motion Flow Clustering for Moving Vehicle Detection from Satellite High Definition Video
Publisher: IEEE
Date: 11-2017
Moving Vehicle Detection for Remote Sensing Video Surveillance with Nonstationary Satellite Platform
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2021
A survey of ticks (Acari: Ixodidae) of companion animals in Australia
Publisher: Springer Science and Business Media LLC
Date: 10-05-2016
Identity-Based Data Outsourcing with Comprehensive Auditing in Clouds
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2017
Evaluating Host-Based Anomaly Detection Systems: Application of the Frequency-Based Algorithms to ADFA-LD
Publisher: Springer International Publishing
Date: 2014
Enabling Identity-Based Integrity Auditing and Data Sharing With Sensitive Information Hiding for Secure Cloud Storage
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 02-2019
Integrated Curriculum Approaches to Teaching in Initial Teacher Education for Secondary Schooling: A Systematic Review
Publisher: Edith Cowan University
Date: 03-2022
DOI: 10.14221/AJTE.2022V47N3.3
Abstract: Demands that Initial Teacher Education (ITE) prepare teachers who can equip students to be agile real-world problem solvers are frequent. Guidance about ITE integrated curriculum approaches to achieve this aim is harder to find, a significant gap given increasing time and policy pressures for ITE educators. Drawing from an Australian context, this systematic review investigates how integrated curriculum is conceptualised and enacted in secondary schooling ITE courses. Three conceptions of integrated curriculum for ITE are highlighted – Interdisciplinary, Disciplinary Literacy, and Transdisciplinary approaches – alongside benefits and barriers to enacting integrated curriculum. Recommendations for further research and practice around integrated curriculum are proposed.
Related Organisations
Related Funding Activities
Linkage Projects - Grant ID: LP0455324
Start Date: 09-2004
End Date: 09-2007
Amount: $330,000.00
Funder: Australian Research Council
View Funded ActivityDiscovery Projects - Grant ID: DP0985838
Start Date: 2009
End Date: 06-2012
Amount: $247,000.00
Funder: Australian Research Council
View Funded ActivityLinkage Projects - Grant ID: LP180100663
Start Date: 11-2019
End Date: 10-2024
Amount: $450,000.00
Funder: Australian Research Council
View Funded ActivityLinkage Projects - Grant ID: LP100100404
Start Date: 02-2010
End Date: 12-2013
Amount: $250,000.00
Funder: Australian Research Council
View Funded ActivityLinkage Projects - Grant ID: LP110100602
Start Date: 05-2011
End Date: 12-2015
Amount: $270,000.00
Funder: Australian Research Council
View Funded ActivityLinkage Projects - Grant ID: LP120100595
Start Date: 09-2012
End Date: 09-2016
Amount: $145,000.00
Funder: Australian Research Council
View Funded ActivityDiscovery Projects - Grant ID: DP190103660
Start Date: 05-2019
End Date: 05-2023
Amount: $385,000.00
Funder: Australian Research Council
View Funded ActivityLinkage Projects - Grant ID: LP100200538
Start Date: 12-2010
End Date: 12-2015
Amount: $365,000.00
Funder: Australian Research Council
View Funded ActivityLinkage Projects - Grant ID: LP0455234
Start Date: 09-2004
End Date: 12-2007
Amount: $240,000.00
Funder: Australian Research Council
View Funded ActivityDiscovery Projects - Grant ID: DP200103207
Start Date: 01-2021
End Date: 01-2024
Amount: $390,000.00
Funder: Australian Research Council
View Funded Activity