ORCID Profile
0000-0002-1680-2521
Current Organisations
City University of Macau
,
University of Technology Sydney
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)
Information Systems | Computer System Security | Global Information Systems | Computer Software | Information Systems Management | Global Information Systems | Networking and Communications | Information Systems Management | Web Technologies (excl. Web Search) | Interfaces And Presentation (Excl. Computer-Human Interaction) | Computer Communications Networks | Distributed Computing | Database Management | Interorganisational Information Systems and Web Services | Mobile Technologies
ANZSRC Socio-Economic Objective (SEO)
Application Tools and System Utilities | Information processing services | Application tools and system utilities | Application Software Packages (excl. Computer Games) | Information Processing Services (incl. Data Entry and Capture) | Fixed Line Data Networks and Services | Publishing and Print Services (incl. Internet Publishing) |
Related Links
Publications
Safeguard Information Infrastructure Against DDoS Attacks: Experiments and Modeling
Publisher: Springer Berlin Heidelberg
Date: 2005
DOI: 10.1007/11599371_26
A Differentially Private Game Theoretic Approach for Deceiving Cyber Adversaries
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2021
Correlated Differential Privacy: Hiding Information in Non-IID Data Set
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 02-2015
A tool for layered analysing and understanding of distributed programs
Publisher: Elsevier BV
Date: 07-1997
Pervasive computing at tableside: a wireless web‐based ordering system
Publisher: Emerald
Date: 20-12-2007
The design and implementation of an active replication scheme for distributing services in a cluster of workstations
Publisher: Elsevier BV
Date: 09-2001
Intelligent DDoS Packet Filtering in High-Speed Networks
Publisher: Springer Berlin Heidelberg
Date: 2005
DOI: 10.1007/11576235_42
A Semantic Web-Based Recommendation Framework of Educational Resources in E-Learning
Publisher: Springer Science and Business Media LLC
Date: 27-11-2018
FBI: Friendship Learning-Based User Identification in Multiple Social Networks
Publisher: IEEE
Date: 12-2018
Why it is Hard to Fight against Cyber Criminals?
Publisher: IEEE
Date: 06-2012
An Adaptive Information Grid Architecture for Recommendation System
Publisher: Springer Berlin Heidelberg
Date: 2004
CALD: Surviving Various Application-Layer DDoS Attacks That Mimic Flash Crowd
Publisher: IEEE
Date: 09-2010
DOI: 10.1109/NSS.2010.69
Malwise—An Effective and Efficient Classification System for Packed and Polymorphic Malware
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2013
DOI: 10.1109/TC.2012.65
Discriminating DDoS Attacks from Flash Crowds Using Flow Correlation Coefficient
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2012
A study of data pre-processing techniques for imbalanced biomedical data classification
Publisher: Inderscience Publishers
Date: 2020
The Microcosmic Model of Worm Propagation
Publisher: Oxford University Press (OUP)
Date: 19-08-2011
Asymmetric self-learning for tackling Twitter Spam Drift
Publisher: IEEE
Date: 04-2015
A manifesto for future generation cloud computing: Research directions for the next decade
Publisher: Association for Computing Machinery (ACM)
Date: 19-11-2019
DOI: 10.1145/3241737
Abstract: The Cloud computing paradigm has revolutionised the computer science horizon during the past decade and has enabled the emergence of computing as the fifth utility. It has captured significant attention of academia, industries, and government bodies. Now, it has emerged as the backbone of modern economy by offering subscription-based services anytime, anywhere following a pay-as-you-go model. This has instigated (1) shorter establishment times for start-ups, (2) creation of scalable global enterprise applications, (3) better cost-to-value associativity for scientific and high-performance computing applications, and (4) different invocation/execution models for pervasive and ubiquitous applications. The recent technological developments and paradigms such as serverless computing, software-defined networking, Internet of Things, and processing at network edge are creating new opportunities for Cloud computing. However, they are also posing several new challenges and creating the need for new approaches and research strategies, as well as the re-evaluation of the models that were developed to address issues such as scalability, elasticity, reliability, security, sustainability, and application models. The proposed manifesto addresses them by identifying the major open challenges in Cloud computing, emerging trends, and impact areas. It then offers research directions for the next decade, thus helping in the realisation of Future Generation Cloud Computing.
Eliminating Errors in Worm Propagation Models
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2011
Top-N Recommendations by Learning User Preference Dynamics
Publisher: Springer Berlin Heidelberg
Date: 2013
On-street car parking prediction in smart city: A multi-source data analysis in sensor-cloud environment
Publisher: Springer International Publishing
Date: 2017
Fault tolerant computing: An improved recursive algorithm
Publisher: IEEE
Date: 1990
6 million spam tweets: A large ground truth for timely Twitter spam detection
Publisher: IEEE
Date: 06-2015
Mobility increases the risk of malware propagations in wireless networks
Publisher: IEEE
Date: 08-2015
Efficient Fine-Grained Access Control for Secure Personal Health Records in Cloud Computing
Publisher: Springer International Publishing
Date: 2016
Differentially Private Data Publishing: Non-interactive Setting
Publisher: Springer International Publishing
Date: 2017
Differentially Private Data Analysis
Publisher: Springer International Publishing
Date: 2017
Differentially Private Data Publishing: Settings and Mechanisms
Publisher: Springer International Publishing
Date: 2017
Chaos theory based detection against network mimicking DDoS attacks
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2009
Differentially Private Data Publishing: Interactive Setting
Publisher: Springer International Publishing
Date: 2017
Introduction
Publisher: Springer International Publishing
Date: 2017
Robust Network Traffic Classification
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-2015
Preliminary of Differential Privacy
Publisher: Springer International Publishing
Date: 2017
Robust Patchwork-Based Embedding and Decoding Scheme for Digital Audio Watermarking
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2012
Detecting Stepping Stones by Abnormal Causality Probability
Publisher: Springer International Publishing
Date: 2013
Learning User Preference Patterns for Top-N Recommendations
Publisher: IEEE
Date: 12-2012
Message from the ISPA 2018 Chairs
Publisher: IEEE
Date: 12-2018
Multi-agent reinforcement learning via knowledge transfer with differentially private noise
Publisher: Hindawi Limited
Date: 31-08-2022
DOI: 10.1002/INT.22648
Clock Synchronization State Graphs Based on Clock Precision Difference
Publisher: Springer Berlin Heidelberg
Date: 2005
DOI: 10.1007/11564621_4
Reducing the Bandwidth Requirements of P2P Keyword Indexing
Publisher: Springer Berlin Heidelberg
Date: 2005
DOI: 10.1007/11564621_6
Minicast: A Multicast-Anycast Protocol for Message Delivery
Publisher: Springer Berlin Heidelberg
Date: 2004
String matching query verification on cloud-hosted databases
Publisher: ACM
Date: 04-01-2016
Trust, security and privacy for pervasive applications
Publisher: Springer Science and Business Media LLC
Date: 25-04-2013
A rapid prototyping system for distributed information system applications
Publisher: Elsevier BV
Date: 1994
CAFS: a novel lightweight cache‐based scheme for large‐scale intrusion alert fusion
Publisher: Wiley
Date: 28-04-2011
DOI: 10.1002/CPE.1747
Zero-Day Traffic Identification
Publisher: Springer International Publishing
Date: 2013
Secure tag search in RFID systems using mobile readers
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2015
Semi-supervised and Compound Classification of Network Traffic
Publisher: IEEE
Date: 06-2012
The Multifaceted and Ever-Changing Directions of Information Security — Australia Get Ready!
Publisher: IEEE
Date: 2005
Differentially Private Social Network Data Publishing
Publisher: Springer International Publishing
Date: 2017
Differentially Private Deep Learning
Publisher: Springer International Publishing
Date: 2017
Differentially Private Applications: Where to Start?
Publisher: Springer International Publishing
Date: 2017
More Than Privacy: Applying Differential Privacy in Key Areas of Artificial Intelligence
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2021
MAR: Message-aware routing for opportunistic wireless ad hoc networks
Publisher: IEEE
Date: 11-2011
Special Issue: Multi‐core Supported Network and System Security
Publisher: Wiley
Date: 04-2009
DOI: 10.1002/CPE.1431
Modeling Propagation Dynamics of Social Network Worms
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-2013
Internet traffic clustering with side information
Publisher: Elsevier BV
Date: 08-2014
FogRoute: DTN-Based Data Dissemination Model in Fog Computing
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2017
Spam filtering for network traffic security on a multi‐core environment
Publisher: Wiley
Date: 24-04-2009
DOI: 10.1002/CPE.1435
A Mesh Based Anycast Routing Protocol for Ad Hoc Networks
Publisher: Springer Berlin Heidelberg
Date: 2005
DOI: 10.1007/11576235_92
On the management of remote procedure call transactions
Publisher: Springer Berlin Heidelberg
Date: 1991
Effective Quarantine and Recovery Scheme Against Advanced Persistent Threat
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2021
A model of execution time estimating for RPC-oriented programs
Publisher: Springer Berlin Heidelberg
Date: 1990
Authenticated Medical Documents Releasing with Privacy Protection and Release Control
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2021
Using the k-core decomposition to analyze the static structure of large-scale software systems
Publisher: Springer Science and Business Media LLC
Date: 20-05-2009
Effective metric for detecting distributed denial-of-service attacks based on information divergence
Publisher: Institution of Engineering and Technology (IET)
Date: 2009
Anonymous Data Forwarding in Human Associated Delay Tolerant Networks
Publisher: IEEE
Date: 07-2013
Discriminating DDoS Flows from Flash Crowds Using Information Distance
Publisher: IEEE
Date: 2009
DOI: 10.1109/NSS.2009.29
DDoS discrimination by Linear Discriminant Analysis (LDA)
Publisher: IEEE
Date: 2012
Desynchronization Attacks Resilient Watermarking Method Based on Frequency Singular Value Coefficient Modification
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2021
A reactive system architecture for building fault-tolerant distributed applications
Publisher: Elsevier BV
Date: 08-2004
Can Steering Wheel Detect Your Driving Fatigue?
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2021
Effective Repair Strategy Against Advanced Persistent Threat: A Differential Game Approach
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2019
Differential privacy for neighborhood-based collaborative filtering
Publisher: ACM
Date: 25-08-2013
Integrating Ant Colony Algorithm and Node Centrality to Improve Prediction of Information Diffusion in Social Networks
Publisher: Springer International Publishing
Date: 2018
Architecture of Adaptive Spam Filtering Based on Machine Learning Algorithms
Publisher: Springer Berlin Heidelberg
Date: 2007
Distinguishing DDoS Attacks from Flash Crowds Using Probability Metrics
Publisher: IEEE
Date: 2009
DOI: 10.1109/NSS.2009.35
Robust image retrieval with hidden classes
Publisher: Elsevier BV
Date: 06-2013
Human-Driven Edge Computing and Communication: Part 2
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 02-2018
Non-Linear-Echo Based Anti-Collusion Mechanism for Audio Signals
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2021
Getting the Real-Time Precise Round-Trip Time for Stepping Stone Detection
Publisher: IEEE
Date: 09-2010
DOI: 10.1109/NSS.2010.36
Employing Wikis for Online Collaboration in the E-Learning Environment: Case Study
Publisher: IEEE
Date: 2005
On the Race of Worms and Patches: Modeling the Spread of Information in Wireless Sensor Networks
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2016
Hiding RFID in the Image Matching Based Access Control to a Smart Building
Publisher: IEEE
Date: 10-2018
Machine Learning Differential Privacy With Multifunctional Aggregation in a Fog Computing Architecture
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2018
Service Provisioning for IoT Applications with Multiple Sources in Mobile Edge Computing
Publisher: IEEE
Date: 16-11-2020
Secure Image Retrieval Based on Visual Content and Watermarking Protocol
Publisher: Oxford University Press (OUP)
Date: 07-08-2011
Adversarial Attacks and Defenses in Deep Learning: From a Perspective of Cybersecurity
Publisher: Association for Computing Machinery (ACM)
Date: 23-12-2022
DOI: 10.1145/3547330
Abstract: The outstanding performance of deep neural networks has promoted deep learning applications in a broad set of domains. However, the potential risks caused by adversarial s les have hindered the large-scale deployment of deep learning. In these scenarios, adversarial perturbations, imperceptible to human eyes, significantly decrease the model’s final performance. Many papers have been published on adversarial attacks and their countermeasures in the realm of deep learning. Most focus on evasion attacks, where the adversarial ex les are found at test time, as opposed to poisoning attacks where poisoned data is inserted into the training data. Further, it is difficult to evaluate the real threat of adversarial attacks or the robustness of a deep learning model, as there are no standard evaluation methods. Hence, with this article, we review the literature to date. Additionally, we attempt to offer the first analysis framework for a systematic understanding of adversarial attacks. The framework is built from the perspective of cybersecurity to provide a lifecycle for adversarial attacks and defenses.
Effective Pseudonoise Sequence and Decoding Function for Imperceptibility and Robustness Enhancement in Time-Spread Echo-Based Audio Watermarking
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 02-2011
Internet Traffic Classification by Aggregating Correlated Naive Bayes Predictions
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2013
A locality aware cache diffusion system
Publisher: Springer Science and Business Media LLC
Date: 07-02-2009
Protect Grids from DDoS Attacks
Publisher: Springer Berlin Heidelberg
Date: 2004
A general cloud firewall framework with dynamic resource allocation
Publisher: IEEE
Date: 06-2013
I/O scheduling and performance analysis on multi‐core platforms
Publisher: Wiley
Date: 21-05-2009
DOI: 10.1002/CPE.1421
Spammers Are Becoming smarter on Twitter
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2016
DOI: 10.1109/MITP.2016.36
Privacy Preserving Collaborative Filtering via the Johnson-Lindenstrauss Transform
Publisher: IEEE
Date: 08-2017
Invisible hand: A privacy preserving mobile crowd sensing framework based on economic models
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2017
Channel Correlation Based Robust Audio Watermarking Mechanism for Stereo Signals
Publisher: Springer International Publishing
Date: 2020
Recognizing Very Small Face Images Using Convolution Neural Networks
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2022
Email Categorization Using (2+1)-Tier Classification Algorithms
Publisher: IEEE
Date: 05-2008
DOI: 10.1109/ICIS.2008.96
Discriminating DDoS attack traffic from flash crowd through packet arrival patterns
Publisher: IEEE
Date: 04-2011
A blockchain-based location privacy-preserving crowdsensing system
Publisher: Elsevier BV
Date: 05-2019
The cost of recovery protocols in web-based database systems
Publisher: IEEE
Date: 2004
A solution for fault tolerance in replicated database systems
Publisher: Inderscience Publishers
Date: 2006
Algorithms and Architectures for Parallel Processing
Publisher: Springer Berlin Heidelberg
Date: 2011
Patchwork-Based Audio Watermarking Method Robust to De-synchronization Attacks
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2014
E-AUA: An Efficient Anonymous User Authentication Protocol for Mobile IoT
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2019
Attacking Anonymous Web Browsing at Local Area Networks Through Browsing Dynamics
Publisher: Oxford University Press (OUP)
Date: 18-07-2011
MVGL Analyser for Multi-classifier Based Spam Filtering System
Publisher: IEEE
Date: 2009
Protecting privacy-sensitive locations in trajectories with correlated positions
Publisher: IEEE
Date: 12-2019
Boosting Model Inversion Attacks with Adversarial Examples
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
M-Dimension: Multi-characteristics based routing protocol in human associated delay-tolerant networks with improved performance over one dimensional classic models
Publisher: Elsevier BV
Date: 07-2012
An Efficient Reliable Architecture for Application Layer Anycast Service
Publisher: Springer Berlin Heidelberg
Date: 2005
DOI: 10.1007/11564621_44
GAN-Driven Personalized Spatial-Temporal Private Data Sharing in Cyber-Physical Social Systems
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2020
Distributed Defense Against Distributed Denial-of-Service Attacks
Publisher: Springer Berlin Heidelberg
Date: 2005
DOI: 10.1007/11564621_41
Privacy preserving collaborative filtering for KNN attack resisting
Publisher: Springer Science and Business Media LLC
Date: 06-2014
Data Authentication with Privacy Protection
Publisher: Springer Singapore
Date: 07-12-2018
Information theory based detection against network behavior mimicking DDoS attacks
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2008
Dissemination of Authenticated Tree-Structured Data with Privacy Protection and Fine-Grained Control in Outsourced Databases
Publisher: Springer International Publishing
Date: 2018
A Dual-Channel Time-Spread Echo Method for Audio Watermarking
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2012
Dynamic Feature Selection for Spam Filtering Using Support Vector Machine
Publisher: IEEE
Date: 2007
DOI: 10.1109/ICIS.2007.92
The Design and Implementation of a Traffic Accident Analysis System
Publisher: Springer Berlin Heidelberg
Date: 2001
Secure ownership transfer for multi-tag multi-owner passive RFID environment with individual-owner-privacy
Publisher: Elsevier BV
Date: 2015
A dynamical Deterministic Packet Marking scheme for DDoS traceback
Publisher: IEEE
Date: 12-2013
The efficient imputation method for neighborhood-based collaborative filtering
Publisher: ACM
Date: 29-10-2012
Mark-aided distributed filtering by using neural network for DDoS defense
Publisher: IEEE
Date: 2005
Improving Recommender Systems Accuracy in Social Networks Using Popularity
Publisher: IEEE
Date: 12-2019
Flow Entry Sharing in Protection Design for Software Defined Networks
Publisher: IEEE
Date: 12-2017
Security and privacy in 6G networks: New areas and new challenges
Publisher: Elsevier BV
Date: 08-2020
Human-Driven Edge Computing and Communication: Part 1
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 11-2017
Assessing the level of I.T. security culture improvement: Results from three Australian SMEs
Publisher: IEEE
Date: 11-2009
Protecting information infrastructure from DDoS attacks by MADF
Publisher: Inderscience Publishers
Date: 2006
Modeling and Analysis on the Propagation Dynamics of Modern Email Malware
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2014
DOI: 10.1109/TDSC.2013.49
Detection and defense of application-layer DDoS attacks in backbone web traffic
Publisher: Elsevier BV
Date: 09-2014
Advances in Network and System Security: Editorial Statement
Publisher: Oxford University Press (OUP)
Date: 02-12-2011
Differential Advising in Multiagent Reinforcement Learning
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2020
Privacy-preserving topic model for tagging recommender systems
Publisher: Springer Science and Business Media LLC
Date: 25-03-2015
The Dynamic Privacy-Preserving Mechanisms for Online Dynamic Social Networks
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2022
Control Flow-Based Malware VariantDetection
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2014
DOI: 10.1109/TDSC.2013.40
A Game-Theoretic Federated Learning Framework for Data Quality Improvement
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 11-2023
Privacy Protected Data Forwarding in Human Associated Delay Tolerant Networks
Publisher: IEEE
Date: 07-2013
Fog computing and its applications in 5G
Publisher: Springer International Publishing
Date: 14-10-2016
Protecting Information Systems from DDoS Attack Using Multicore Methodology
Publisher: IEEE
Date: 07-2008
OST: A transaction based online social trust model for social network and file sharing security
Publisher: IEEE
Date: 12-2010
DOI: 10.1109/EUC.2010.128
Automating the construction of replicated objects in a cluster of workstations
Publisher: IEEE Comput. Soc
Date: 2001
AMDD: Exploring Entropy Based Anonymous Multi-dimensional Data Detection for Network Optimization in Human Associated DTNs
Publisher: IEEE
Date: 06-2012
Locating Defense Positions for Thwarting the Propagation of Topological Worms
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2012
Simultaneously Advising via Differential Privacy in Cloud Servers Environment
Publisher: Springer International Publishing
Date: 2020
An Efficient Algorithm for Application-Layer Anycasting
Publisher: Springer Berlin Heidelberg
Date: 2002
An Identity-Based and Revocable Data-Sharing Scheme in VANETs
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2020
Answering differentially private queries for continual datasets release
Publisher: Elsevier BV
Date: 10-2018
An analysis of update ordering in distributed replication systems
Publisher: Elsevier BV
Date: 05-2004
Request Reliability Augmentation With Service Function Chain Requirements in Mobile Edge Computing
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2022
Balancing Learning Model Privacy, Fairness, and Accuracy With Early Stopping Criteria
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2023
An Analytical Model on the Propagation of Modern Email Worms
Publisher: IEEE
Date: 1
RRHGE: A Novel Approach to Classify the Estrogen Receptor Based Breast Cancer Subtypes
Publisher: Hindawi Limited
Date: 2014
DOI: 10.1155/2014/362141
Abstract: Background . Breast cancer is the most common type of cancer among females with a high mortality rate. It is essential to classify the estrogen receptor based breast cancer subtypes into correct subclasses, so that the right treatments can be applied to lower the mortality rate. Using gene signatures derived from gene interaction networks to classify breast cancers has proven to be more reproducible and can achieve higher classification performance. However, the interactions in the gene interaction network usually contain many false-positive interactions that do not have any biological meanings. Therefore, it is a challenge to incorporate the reliability assessment of interactions when deriving gene signatures from gene interaction networks. How to effectively extract gene signatures from available resources is critical to the success of cancer classification. Methods . We propose a novel method to measure and extract the reliable (biologically true or valid) interactions from gene interaction networks and incorporate the extracted reliable gene interactions into our proposed RRHGE algorithm to identify significant gene signatures from microarray gene expression data for classifying ER+ and ER− breast cancer s les. Results . The evaluation on real breast cancer s les showed that our RRHGE algorithm achieved higher classification accuracy than the existing approaches.
RFID tags - Grouping proof with forward security
Publisher: IEEE
Date: 09-2013
An IT Bachelor Degree Using Modern Technologies to Illustrate Core Concepts and Principles and Building Generic Skills
Publisher: Springer Science and Business Media LLC
Date: 10-2005
PPM-HDA: Privacy-Preserving and Multifunctional Health Data Aggregation With Fault Tolerance
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2016
An Effective Deferentially Private Data Releasing Algorithm for Decision Tree
Publisher: IEEE
Date: 07-2013
Privacy of Things: Emerging Challenges and Opportunities in Wireless Internet of Things
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2018
A Resource Allocation Method for Computational Grids Based on On-line Reverse Auction
Publisher: IEEE
Date: 08-2009
A Robust Game-theoretical Federated Learning Framework with Joint Differential Privacy
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 11-03-2052
Analysis of the Spreading Influence Variations for Online Social Users under Attacks
Publisher: IEEE
Date: 12-2016
Modeling malicious activities in cyber space
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 11-2015
A Web-DB model on multicast and anycast
Publisher: IEEE Comput. Soc
Date: 2002
Home location protection in mobile social networks: A community based method (short paper)
Publisher: Springer International Publishing
Date: 2017
Differential Private POI Queries via Johnson-Lindenstrauss Transform
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2018
Image retrieval based on semantics of intra-region color properties
Publisher: IEEE
Date: 07-2008
A learning method for Top-N recommendations with incomplete data
Publisher: Springer Science and Business Media LLC
Date: 27-02-2013
S-Kcore: A social-aware kcore decomposition algorithm in Pocket Switched Networks
Publisher: IEEE
Date: 12-2010
DOI: 10.1109/EUC.2010.116
GAN-DP: Generative Adversarial Net Driven Differentially Privacy-Preserving Big Data Publishing
Publisher: IEEE
Date: 05-2019
A minimum disclosure approach to authentication and privacy in RFID systems
Publisher: Elsevier BV
Date: 10-2012
Who spread to whom? Inferring online social networks with user features
Publisher: IEEE
Date: 05-2018
A serverless ultra-lightweight secure search protocol for EPC Class-1 Gen-2 UHF RFID tags
Publisher: IEEE
Date: 06-2012
Message from CSS 2009 Workshop Chairs
Publisher: IEEE
Date: 2009
FedRecovery: Differentially Private Machine Unlearning for Federated Learning Frameworks
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
Mining streams of short text for analysis of world-wide event evolutions
Publisher: Springer Science and Business Media LLC
Date: 04-06-2014
Deferentially Private Tagging Recommendation Based on Topic Model
Publisher: Springer International Publishing
Date: 2014
Frequency Distribution of TATA Box and Extension Sequences on Human Promoters
Publisher: IEEE
Date: 06-2006
Adjacency Cache: Fast Web Cache Indexing and Lookup
Publisher: IEEE
Date: 2007
DOI: 10.1109/ICIS.2007.51
Efficient Web Browsing with Perfect Anonymity Using Page Prefetching
Publisher: Springer Berlin Heidelberg
Date: 2010
Robust Histogram Shape-Based Method for Image Watermarking
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2015
Traffic Flow Prediction for Road Intersection Safety
Publisher: IEEE
Date: 10-2018
Self-adaptive clock synchronization for computational grid
Publisher: Springer Science and Business Media LLC
Date: 07-2003
DOI: 10.1007/BF02948917
Reducing Cache Lookup and Publish Overhead through Locality Awareness in P2P Web Caching
Publisher: IEEE
Date: 09-2008
On addressing the imbalance problem: A correlated KNN approach for network traffic classification
Publisher: Springer International Publishing
Date: 2014
Efficient algorithm for mobile multicast using anycast group
Publisher: Institution of Engineering and Technology (IET)
Date: 2001
Erratum: A Performance Evaluation of Machine Learning Based Streaming Spam Tweets Detection (IEEE Transactions on Computational Social Systems (2015) 2:3 (65-76))
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2016
Secure Balance Planning of Off-blockchain Payment Channel Networks
Publisher: IEEE
Date: 07-2020
Robust network traffic identification with unknown applications
Publisher: ACM
Date: 08-05-2013
Reducing the bandwidth requirements of P2P keyword indexing
Publisher: Inderscience Publishers
Date: 2009
Fairness in Semi-Supervised Learning: Unlabeled Data Help to Reduce Discrimination
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2022
Visual privacy attacks and defenses in deep learning: a survey
Publisher: Springer Science and Business Media LLC
Date: 31-01-2022
Multi-classifier Classification of Spam Email on a Ubiquitous Multi-core Architecture
Publisher: IEEE
Date: 10-2008
DOI: 10.1109/NPC.2008.71
Catch Me if You Can: Detecting Compromised Users Through Partial Observation on Networks
Publisher: IEEE
Date: 06-2017
Low-Rate DDoS Attacks Detection and Traceback by Using New Information Metrics
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2011
Entropy-Based Collaborative Detection of DDOS Attacks on Community Networks
Publisher: IEEE
Date: 03-2008
Protecting web services with Service Oriented Traceback Architecture
Publisher: IEEE
Date: 07-2008
Analysis of a patchwork-based audio watermarking scheme
Publisher: IEEE
Date: 06-2013
A microscopic competition model and its dynamics analysis on network attacks
Publisher: Wiley
Date: 23-09-2009
DOI: 10.1002/CPE.1499
Differentially Private Recommender System
Publisher: Springer International Publishing
Date: 2017
Privacy Preserving for Tagging Recommender Systems
Publisher: Springer International Publishing
Date: 2017
Null Model and Community Structure in Heterogeneous Networks
Publisher: Springer International Publishing
Date: 2020
An effective privacy preserving algorithm for neighborhood-based collaborative filtering
Publisher: Elsevier BV
Date: 07-2014
Statistical Features-Based Real-Time Detection of Drifted Twitter Spam
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2017
The maximum imputation framework for neighborhood-based collaborative filtering
Publisher: Springer Science and Business Media LLC
Date: 18-06-2014
Correlated Differential Privacy for Non-IID Datasets
Publisher: Springer International Publishing
Date: 2017
Future Directions and Conclusion
Publisher: Springer International Publishing
Date: 2017
Differentially Location Privacy
Publisher: Springer International Publishing
Date: 2017
Differentially Private Spatial Crowdsourcing
Publisher: Springer International Publishing
Date: 2017
Improving the Performance of Equalization in Communication Systems
Publisher: Springer Berlin Heidelberg
Date: 2004
Network and system security
Publisher: Elsevier BV
Date: 03-2009
A Data-driven Attack against Support Vectors of SVM
Publisher: ACM
Date: 29-05-2018
Reliable Downloading Algorithms for BitTorrent-like Systems
Publisher: IEEE
Date: 10-2009
DOI: 10.1109/NPC.2009.17
Energy-Aware Collaborative Service Caching in a 5G-Enabled MEC With Uncertain Payoffs
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 02-2022
Differentially Private Data Publishing and Analysis: A Survey
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-2017
Privacy Preserving for Tagging Recommender Systems
Publisher: IEEE
Date: 11-2013
Studying the Global Spreading Influence and Local Connections of Users in Online Social Networks
Publisher: IEEE
Date: 12-2016
DOI: 10.1109/CIT.2016.15
Supporting fault-tolerant and open distributed processing using RPC
Publisher: Elsevier BV
Date: 06-1996
Defending Grid Web Services from XDoS attacks by SOTA
Publisher: IEEE
Date: 03-2009
Special Issue on Entropy-Based Applied Cryptography and Enhanced Security for Ubiquitous Computing
Publisher: MDPI AG
Date: 13-09-2016
DOI: 10.3390/E18090334
Defending against Distributed Denial of Service
Publisher: IGI Global
Date: 2007
DOI: 10.4018/978-1-59140-987-8.CH019
Abstract: Recently the notorious Distributed Denial of Service (DDoS) attacks made people aware of the importance of providing available data and services securely to users. A DDoS attack is characterized by an explicit attempt from an attacker to prevent legitimate users of a service from using the desired resource (CERT, 2006). For ex le, in February 2000, many Web sites such as Yahoo, Amazon.com, eBuy, CNN.com, Buy. com, ZDNet, E*Trade, and Excite.com were all subject to total or regional outages by DDoS attacks. In 2002, a massive DDoS attack briefly interrupted Web traffic on nine of the 13 DNS “root” servers that control the Internet (Naraine, 2002). In 2004, a number of DDoS attacks assaulted the credit card processor Authorize. net, the Web infrastructure provider Akamai Systems, the interactive advertising company DoubleClick (left that company’s servers temporarily unable to deliver ads to thousands of popular Web sites), and many online gambling sites (Arnfield, 2004). Nowadays, Internet applications face serious security problems caused by DDoS attacks. For ex le, according to CERT/CC Statistics 1998-2005 (CERT, 2006), computer-based vulnerabilities reported have increased exponentially since 1998. Effective approaches to defeat DDoS attacks are desperately demanded (Cisco, 2001 Gibson, 2002).
Identifying Propagation Sources in Networks: State-of-the-Art and Comparative Studies
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2017
A composite descriptor for shape retrieval
Publisher: IEEE
Date: 2007
DOI: 10.1109/ICIS.2007.13
An effective non-parametric method for globally clustering genes from expression profiles
Publisher: Springer Science and Business Media LLC
Date: 18-10-2007
DOI: 10.1007/S11517-007-0271-1
Abstract: Clustering is widely used in bioinformatics to find gene correlation patterns. Although many algorithms have been proposed, these are usually confronted with difficulties in meeting the requirements of both automation and high quality. In this paper, we propose a novel algorithm for clustering genes from their expression profiles. The unique features of the proposed algorithm are twofold: it takes into consideration global, rather than local, gene correlation information in clustering processes and it incorporates clustering quality measurement into the clustering processes to implement non-parametric, automatic and global optimal gene clustering. The evaluation on simulated and real gene data sets demonstrates the effectiveness of the algorithm.
Multi-core Security Defense System (MSDS)
Publisher: IEEE
Date: 12-2008
Improving Data Utility through Game Theory in Personalized Differential Privacy
Publisher: IEEE
Date: 05-2018
Editorial: Advances in network and system security
Publisher: Elsevier BV
Date: 07-2011
Special issue on recent advances in network and information security-security and communication networks journal
Publisher: Wiley
Date: 15-12-2015
DOI: 10.1002/SEC.1180
An analysis of update ordering in a cluster of replicated servers
Publisher: IEEE Comput. Soc
Date: 2002
Unsupervised traffic classification using flow statistical properties and IP packet payload
Publisher: Elsevier BV
Date: 08-2013
An abnormal‐based approach to effectively detect DDoS attacks
Publisher: Informa UK Limited
Date: 11-2009
Pokémon GO in Melbourne CBD: A case study of the cyber-physical symbiotic social networks
Publisher: Elsevier BV
Date: 05-2018
Ubiquitous Multicore (UM) Methodology for Multimedia
Publisher: IEEE
Date: 10-2008
DOI: 10.1109/CSA.2008.75
A survey of recommendation techniques based on offline data processing
Publisher: Wiley
Date: 09-09-2014
DOI: 10.1002/CPE.3370
Fault Diagnosis for Time Synchronization in Sensor Networks
Publisher: IEEE
Date: 12-2007
DOI: 10.1109/PRDC.2007.48
Fuzzy-Based Information Decomposition for Incomplete and Imbalanced Data Learning
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2017
Novel Multi-Keyword Search on Encrypted Data in the Cloud
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2019
Location Privacy and Its Applications: A Systematic Study
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2018
Internet Traffic Classification Using Constrained Clustering
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 11-2014
Protecting web applications from DDoS attacks by an active distributed defense system
Publisher: Emerald
Date: 02-2006
DOI: 10.1108/17440080680000099
Abstract: In the last a few years a number of highly publicized incidents of Distributed Denial of Service (DDoS) attacks against high‐profile government and commercial websites have made people aware of the importance of providing data and services security to users. A DDoS attack is an availability attack, which is characterized by an explicit attempt from an attacker to prevent legitimate users of a service from using the desired resources. This paper introduces the vulnerability of web applications to DDoS attacks, and presents an active distributed defense system that has a deployment mixture of sub‐systems to protect web applications from DDoS attacks. According to the simulation experiments, this system is effective in that it is able to defend web applications against attacks. It can avoid overall network congestion and provide more resources to legitimate web users.
A Solution for Fault-Tolerance in Replicated Database Systems
Publisher: Springer Berlin Heidelberg
Date: 2003
Object-oriented finite element analysis: a distributed approach to mesh generation
Publisher: IEEE Comput. Soc
Date: 2002
A Data as a Product Model for Future Consumption of Big Stream Data in Clouds
Publisher: IEEE
Date: 06-2015
DOI: 10.1109/SCC.2015.43
A Feasible IP Traceback Framework through Dynamic Deterministic Packet Marking
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2016
An Intrusion Surveillance System to Detect IRC-based DDoS Attacks
Publisher: IEEE
Date: 2006
Correlated Differential Privacy: Feature Selection in Machine Learning
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2020
A secure search protocol based on Quadratic Residues for EPC Class-1 Gen-2 UHF RFID tags
Publisher: IEEE
Date: 09-2012
Message from the IUCC 2014 general chairs
Publisher: IEEE
Date: 12-2015
DOI: 10.1109/CSE.2014.13
Source Identification Under Snapshots: A Sample Path Based Source Estimator
Publisher: Springer International Publishing
Date: 21-11-2018
Source Identification Under Sensor Observations: A Gaussian Source Estimator
Publisher: Springer International Publishing
Date: 21-11-2018
A tool for assisting the understanding of distributed programs
Publisher: ACM Press
Date: 1996
Preliminary of identifying propagation sources
Publisher: Springer International Publishing
Date: 21-11-2019
Source Identification Under Complete Observations: A Maximum Likelihood (ML) Source Estimator
Publisher: Springer International Publishing
Date: 21-11-2018
Comparative Study and Numerical Analysis
Publisher: Springer International Publishing
Date: 21-11-2018
Research on network anycast
Publisher: IEEE Comput. Soc
Date: 2002
A Load Balancing Algorithm for Web Based Server Grids
Publisher: Springer Berlin Heidelberg
Date: 2004
User Influence in the Propagation of Malicious Attacks
Publisher: Springer International Publishing
Date: 21-11-2018
Restrain malicious attack propagation
Publisher: Springer International Publishing
Date: 21-11-2019
Introduction
Publisher: Springer International Publishing
Date: 21-11-2018
Near Optimal and Dynamic Mechanisms Towards a Stable NFV Market in Multi-Tier Cloud Networks
Publisher: IEEE
Date: 10-05-2021
Preliminary of modeling malicious attack propagation
Publisher: Springer International Publishing
Date: 21-11-2019
Effective DDoS Attacks Detection Using Generalized Entropy Metric
Publisher: Springer Berlin Heidelberg
Date: 2009
A system for managing remote procedure call transactions
Publisher: Elsevier BV
Date: 08-1996
Density-Based Location Preservation for Mobile Crowdsensing With Differential Privacy
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2018
Using phylogenetic footprinting to discover putative cis-regulatory elements and analysing their coexistence and related gene ontology
Publisher: IEEE
Date: 05-2006
Prediction Model Students' Performance in Online Discussion Forum
Publisher: ACM
Date: 10-01-2017
K-Center: An Approach on the Multi-Source Identification of Information Diffusion
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2015
The design and development of an integrated system for object-oriented finite element computing
Publisher: IEEE Comput. Soc
Date: 2002
Introduction
Publisher: Springer International Publishing
Date: 2015
Modeling and Analysis for Thwarting Worm Propagation in Email Networks
Publisher: Springer Berlin Heidelberg
Date: 2013
Delay Tolerant Networks Based Applications
Publisher: Springer International Publishing
Date: 2015
A robust grouping proof protocol for RFID EPC C1G2 tags
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2014
Attribute-Based Membership Inference Attacks and Defenses on GANs
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
Conclusions and Future Work
Publisher: Springer International Publishing
Date: 2015
Message from the NSS 2010 General Chairs
Publisher: IEEE
Date: 09-2010
DOI: 10.1109/NSS.2010.4
Data Dissemination in Delay Tolerant Networks with Geographic Information
Publisher: Springer International Publishing
Date: 2015
Privacy Protected Routing in Delay Tolerant Networks
Publisher: Springer International Publishing
Date: 2015
Routing Protocols in Delay Tolerant Networks
Publisher: Springer International Publishing
Date: 2015
Social Characteristics Based Multiple Dimensional Routing Protocol in Human Associated Delay Tolerant Networks
Publisher: Springer International Publishing
Date: 2015
Zero knowledge grouping proof protocol for RFID EPC C1G2 Tags
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2015
Modeling the Propagation of Worms in Networks: A Survey
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2014
Detecting and Tracing DDoS Attacks by Intelligent Decision Prototype
Publisher: IEEE
Date: 03-2008
Static malware clustering using enhanced deep embedding method
Publisher: Wiley
Date: 16-04-2019
DOI: 10.1002/CPE.5234
To Shut Them Up or to Clarify: Restraining the Spread of Rumors in Online Social Networks
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2014
Technologies and Considerations for Developing Internet and Multiplayer Computer Games: A Tutorial
Publisher: Springer Berlin Heidelberg
Date: 2005
DOI: 10.1007/11576235_4
A Co-Recommendation Algorithm for Web searching
Publisher: IEEE Comput. Soc
Date: 2002
Building Virtual Learning Communities
Publisher: IGI Global
Date: 2009
DOI: 10.4018/978-1-60566-272-5.CH015
Abstract: This chapter introduces the concept of virtual learning communities and discusses and further enhances the theory and definitions presented in related literature. A model comprising four criteria essential to virtual learning communities is presented and discussed in detail. Theory and case studies relating to the impact of virtual learning communities on distance education and students from erse cultural groups are also examined. In addition, this chapter investigates the enabling technologies and facilitation that is required to build virtual learning communities. Other case studies are used to illustrate the process of building virtual learning communities. Emerging technologies such as Wikis and video lectures are also analysed to determine the effects they have on building and sustaining effective virtual learning communities.
SCARA: A Framework for Secure Cloud-Assisted RFID Authentication for Smart Building Access Control
Publisher: Springer International Publishing
Date: 2018
EUC 2011: Message from the general chairs
Publisher: IEEE
Date: 10-2011
DOI: 10.1109/EUC.2011.48
An Analytical Model for DDoS Attacks and Defense
Publisher: IEEE
Date: 08-2006
DOI: 10.1109/ICCGI.2006.7
Machine Unlearning: A Survey
Publisher: Association for Computing Machinery (ACM)
Date: 28-08-2023
DOI: 10.1145/3603620
Abstract: Machine learning has attracted widespread attention and evolved into an enabling technology for a wide range of highly successful applications, such as intelligent computer vision, speech recognition, medical diagnosis, and more. Yet, a special need has arisen where, due to privacy, usability, and/or the right to be forgotten , information about some specific s les needs to be removed from a model, called machine unlearning. This emerging technology has drawn significant interest from both academics and industry due to its innovation and practicality. At the same time, this ambitious problem has led to numerous research efforts aimed at confronting its challenges. To the best of our knowledge, no study has analyzed this complex topic or compared the feasibility of existing unlearning solutions in different kinds of scenarios. Accordingly, with this survey, we aim to capture the key concepts of unlearning techniques. The existing solutions are classified and summarized based on their characteristics within an up-to-date and comprehensive review of each category’s advantages and limitations. The survey concludes by highlighting some of the outstanding issues with unlearning techniques, along with some feasible directions for new research opportunities.
Generating regular expression signatures for network traffic classification in trusted network management
Publisher: Elsevier BV
Date: 05-2012
Improving Top-N Recommendations with User Consuming Profiles
Publisher: Springer Berlin Heidelberg
Date: 2012
Detecting and tolerating failures in a loosely integrated heterogeneous database system
Publisher: Elsevier BV
Date: 07-1999
Exploring the Foundations of Practicing Online Collaboration
Publisher: Springer Berlin Heidelberg
Date: 2003
Multidimensional Routing Protocol in Human-Associated Delay-Tolerant Networks
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 11-2013
DOI: 10.1109/TMC.2012.188
Developing wikis to foster web-based learning communities: an iterative approach
Publisher: Inderscience Publishers
Date: 2006
Blockchain for Secure Location Verification
Publisher: Elsevier BV
Date: 02-2020
Private collaborative filtering under untrusted recommender server
Publisher: Elsevier BV
Date: 08-2020
Breast Cancer Prognosis Risk Estimation Using Integrated Gene Expression and Clinical Data
Publisher: Hindawi Limited
Date: 2014
DOI: 10.1155/2014/459203
Abstract: Background . Novel prognostic markers are needed so newly diagnosed breast cancer patients do not undergo any unnecessary therapy. Various microarray gene expression datasets based studies have generated gene signatures to predict the prognosis outcomes, while ignoring the large amount of information contained in established clinical markers. Nevertheless, small s le sizes in in idual microarray datasets remain a bottleneck in generating robust gene signatures that show limited predictive power. The aim of this study is to achieve high classification accuracy for the good prognosis group and then achieve high classification accuracy for the poor prognosis group. Methods . We propose a novel algorithm called the IPRE (integrated prognosis risk estimation) algorithm. We used integrated microarray datasets from multiple studies to increase the s le sizes (∼2,700 s les). The IPRE algorithm consists of a virtual chromosome for the extraction of the prognostic gene signature that has 79 genes, and a multivariate logistic regression model that incorporates clinical data along with expression data to generate the risk score formula that accurately categorizes breast cancer patients into two prognosis groups. Results . The evaluation on two testing datasets showed that the IPRE algorithm achieved high classification accuracies of 82% and 87%, which was far greater than any existing algorithms.
Security in next generation wireless networks
Publisher: Wiley
Date: 25-09-2009
DOI: 10.1002/SEC.151
Discovery of stop regions for understanding repeat travel behaviors of moving objects
Publisher: Elsevier BV
Date: 06-2016
Trust mechanisms in wireless sensor networks: Attack analysis and countermeasures
Publisher: Elsevier BV
Date: 05-2012
Using Multi-Core Processors to Support Network Security Applications
Publisher: IEEE
Date: 2008
The design and implementation of a distributed program monitor
Publisher: Elsevier BV
Date: 07-1993
Private-encoder: Enforcing privacy in latent space for human face images
Publisher: Wiley
Date: 09-08-2022
DOI: 10.1002/CPE.6548
Abstract: The explosive growth of various computer vision technologies generates a tremendous amount of visual data online every day. In addition to bringing convenience and revolutionizing our daily life, image data also reveal a wide range of sensitive information and pose unprecedented privacy leakage risks. Particularly, in the case of photos contain human faces, people can easily access those face images on social media without any consent, and the misuse of personal information could cause serious privacy violation to in iduals. Therefore, it is essential to consider sanitizing people's identity information when using images containing human faces. As a result, there has been rapid development in the area of facial anonymization, also called image de‐identification. However, due to the emergence of numerous deep‐learning based attacks, traditional anonymization methods such as blurring and mosaic are weak and ineffective to protect in idual's privacy in face images. To respond to this challenge, this article proposes a novel de‐identification method that utilizes a deep neural network. The proposed framework encompasses two modules: encoder network and generator network. The encoder transforms a face image into a high‐semantic latent vector of codes, which will be de‐identified according to the differential privacy criterion. The generator leverages the unconditional generative adversarial network to synthesize high‐quality images based on the modified latent codes from the encoder. Extensive experimental results indicate that our proposed model can protect image privacy while keeping the processed image visual realistic.
Rumor Source Identification in Social Networks with Time-Varying Topology
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2018
Twitter spam detection: Survey of new approaches and comparative study
Publisher: Elsevier BV
Date: 07-2018
Delay control and parallel admission algorithms for real-time anycast flow
Publisher: Springer Science and Business Media LLC
Date: 08-2004
Cloud security defence to protect cloud computing against HTTP-DoS and XML-DoS attacks
Publisher: Elsevier BV
Date: 07-2011
Optimal multicast tree routing for cluster computing in hypercube interconnection networks
Publisher: IEEE Comput. Soc
Date: 2002
Traffic Identification in Semi-known Network Environment
Publisher: IEEE
Date: 12-2013
DOI: 10.1109/CSE.2013.91
Fault detection and fault tolerance in a loosely integrated heterogeneous database system
Publisher: World Scientific
Date: 1997
Semi-supervised and compound classification of network traffic
Publisher: Inderscience Publishers
Date: 2012
Lazy collaborative filtering for data sets with missing values
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2013
Adversaries or allies? Privacy and deep learning in big data era
Publisher: Wiley
Date: 14-12-2019
DOI: 10.1002/CPE.5102
Offline grouping proof protocol for RFID systems
Publisher: IEEE
Date: 10-2013
Identifyingcis-regulatory elements by statistical analysis and phylogenetic footprinting and analyzing their coexistence and related gene ontology
Publisher: American Physiological Society
Date: 11-2007
DOI: 10.1152/PHYSIOLGENOMICS.00085.2006
Abstract: Discovery of cis-regulatory elements in gene promoters is a highly challenging research issue in computational molecular biology. This paper presents a novel approach to searching putative cis-regulatory elements in human promoters by first finding 8-mer sequences of high statistical significance from gene promoters of humans, mice, and Drosophila melanogaster, respectively, and then identifying the most conserved ones across the three species (phylogenetic footprinting). In this study, a conservation analysis on both closely related species (humans and mice) and distantly related species (humans/mice and Drosophila) is conducted not only to examine more candidates but also to improve the prediction accuracy. We have found 124 putative cis-regulatory elements and grouped these into 20 clusters. The investigation on the coexistence of these clusters in human gene promoters reveals that SP1, EGR, and NRF-1 are the dominant clusters appearing in the combinatorial combination of up to five clusters. Gene Ontology (GO) analysis also shows that many GO categories of transcription factors binding to these cis-regulatory elements match the GO categories of genes whose promoters contain these elements. Compared with previous research, the contribution of this study lies not only in the finding of new cis-regulatory elements, but also in its pioneering exploration on the coexistence of discovered elements and the GO relationship between transcription factors and regulated genes. This exploration verifies the putative cis-regulatory elements that have been found from this study and also gives new insight on the regulation mechanisms of gene expression.
The Probability Model of Peer-to-Peer Botnet Propagation
Publisher: Springer Berlin Heidelberg
Date: 2011
Identifying Transcription Factor Binding Sites in Promoters of Human Genes
Publisher: IEEE
Date: 2006
A novel mutual authentication scheme with minimum disclosure for RFID systems
Publisher: IEEE
Date: 12-2011
Corners-based composite descriptor for shapes
Publisher: IEEE
Date: 2008
Differentially private model publishing in cyber physical systems
Publisher: Elsevier BV
Date: 07-2020
Distributed Denial of Service (DDoS) detection by traffic pattern analysis
Publisher: Springer Science and Business Media LLC
Date: 25-10-2012
A secure tag ownership transfer scheme in a closed loop RFID system
Publisher: IEEE
Date: 04-2012
The Relation Between Local and Global Influence of Individuals in Scale-Free Networks
Publisher: IEEE
Date: 11-2015
Customizable Reliable Privacy-Preserving Data Sharing in Cyber-Physical Social Networks
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2021
A Lightweight Intrusion Alert Fusion System
Publisher: IEEE
Date: 09-2010
IUCC 2013: Message from the General Chairs
Publisher: IEEE
Date: 07-2013
Recognizing Palm Vein in Smartphones Using RGB Images
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2022
Special Section: Trusted computing
Publisher: Elsevier BV
Date: 05-2011
Using epidemic betweenness to measure the influence of users in complex networks
Publisher: Elsevier BV
Date: 2017
ISPA 2013: Message from the General Chairs
Publisher: IEEE
Date: 07-2013
From distributed machine learning to federated learning: In the view of data privacy and security
Publisher: Wiley
Date: 23-09-2020
DOI: 10.1002/CPE.6002
Abstract: Federated learning is an improved version of distributed machine learning that further offloads operations which would usually be performed by a central server. The server becomes more like an assistant coordinating clients to work together rather than micromanaging the workforce as in traditional DML. One of the greatest advantages of federated learning is the additional privacy and security guarantees it affords. Federated learning architecture relies on smart devices, such as smartphones and IoT sensors, that collect and process their own data, so sensitive information never has to leave the client device. Rather, clients train a submodel locally and send an encrypted update to the central server for aggregation into the global model. These strong privacy guarantees make federated learning an attractive choice in a world where data breaches and information theft are common and serious threats. This survey outlines the landscape and latest developments in data privacy and security for federated learning. We identify the different mechanisms used to provide privacy and security, such as differential privacy, secure multiparty computation and secure aggregation. We also survey the current attack models, identifying the areas of vulnerability and the strategies adversaries use to penetrate federated systems. The survey concludes with a discussion on the open challenges and potential directions of future work in this increasingly popular learning paradigm.
A Performance Evaluation of Machine Learning-Based Streaming Spam Tweets Detection
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2015
Distributed object replication in a cluster of workstations
Publisher: IEEE
Date: 2000
Null Model and Community Structure in Multiplex Networks
Publisher: Springer Science and Business Media LLC
Date: 19-02-2018
DOI: 10.1038/S41598-018-21286-0
Abstract: The multiple relationships among objects in complex systems can be described well by multiplex networks, which contain rich information of the connections between objects. The null model of networks, which can be used to quantify the specific nature of a network, is a powerful tool for analysing the structural characteristics of complex systems. However, the null model for multiplex networks remains largely unexplored. In this paper, we propose a null model for multiplex networks based on the node redundancy degree, which is a natural measure for describing the multiple relationships in multiplex networks. Based on this model, we define the modularity of multiplex networks to study the community structures in multiplex networks and demonstrate our theory in practice through community detection in four real-world networks. The results show that our model can reveal the community structures in multiplex networks and indicate that our null model is a useful approach for providing new insights into the specific nature of multiplex networks, which are difficult to quantify.
AdaM: Adaptive-Maximum imputation for neighborhood-based collaborative filtering
Publisher: ACM
Date: 25-08-2013
Fault-tolerant servers for the RHODOS system
Publisher: Elsevier BV
Date: 06-1997
Cultural Issues Relating to Teaching IT Professional Ethics Online: Lessons Learned
Publisher: Springer Berlin Heidelberg
Date: 2003
Using Multi-core to Support Security-Related Applications
Publisher: Springer Berlin Heidelberg
Date: 2008
Privacy and Fairness in Federated Learning: On the Perspective of Tradeoff
Publisher: Association for Computing Machinery (ACM)
Date: 15-09-2023
DOI: 10.1145/3606017
Abstract: Federated learning (FL) has been a hot topic in recent years. Ever since it was introduced, researchers have endeavored to devise FL systems that protect privacy or ensure fair results, with most research focusing on one or the other. As two crucial ethical notions, the interactions between privacy and fairness are comparatively less studied. However, since privacy and fairness compete, considering each in isolation will inevitably come at the cost of the other. To provide a broad view of these two critical topics, we presented a detailed literature review of privacy and fairness issues, highlighting unique challenges posed by FL and solutions in federated settings. We further systematically surveyed different interactions between privacy and fairness, trying to reveal how privacy and fairness could affect each other and point out new research directions in fair and private FL.
Evolution of cooperation in malicious social networks with differential privacy mechanisms
Publisher: Springer Science and Business Media LLC
Date: 03-08-2020
STC: Exposing Hidden Compromised Devices in Networked Sustainable Green Smart Computing Platforms by Partial Observation
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2019
A secure search protocol for low cost passive RFID tags
Publisher: Elsevier BV
Date: 07-2017
The 2008 international symposium on trust, security and privacy for pervasive applications (TSP-08)
Publisher: IEEE
Date: 2008
DOI: 10.1109/EUC.2008.202
Correlated data in differential privacy: Definition and analysis
Publisher: Wiley
Date: 19-09-2020
DOI: 10.1002/CPE.6015
Abstract: Differential privacy is a rigorous mathematical framework for evaluating and protecting data privacy. In most existing studies, there is a vulnerable assumption that records in a dataset are independent when differential privacy is applied. However, in real‐world datasets, records are likely to be correlated, which may lead to unexpected data leakage. In this survey, we investigate the issue of privacy loss due to data correlation under differential privacy models. Roughly, we classify existing literature into three lines: (1) using parameters to describe data correlation in differential privacy, (2) using models to describe data correlation in differential privacy, and (3) describing data correlation based on the framework of Pufferfish. First, a detailed ex le is given to illustrate the issue of privacy leakage on correlated data in real scenes. Then our main work is to analyze and compare these methods, and evaluate situations that these erse studies are applied. Finally, we propose some future challenges on correlated differential privacy.
An Effective Network Traffic Classification Method with Unknown Flow Detection
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2013
Minimizing the Limitations of GL Analyser of Fusion Based Email Classification
Publisher: Springer Berlin Heidelberg
Date: 2009
Sharable file searching in unstructured Peer-to-peer systems
Publisher: Springer Science and Business Media LLC
Date: 26-04-2009
Differentially Private Malicious Agent Avoidance in Multiagent Advising Learning
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2020
A conceptual matrix model for biological data processing
Publisher: IEEE
Date: 02-2007
Edge-based stochastic network model reveals structural complexity of edges
Publisher: Elsevier BV
Date: 11-2019
Time-Driven and Privacy-Preserving Navigation Model for Vehicle-to-Vehicle Communication Systems
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2023
The structure of communities in scale‐free networks
Publisher: Wiley
Date: 04-11-2016
DOI: 10.1002/CPE.4040
Flexible Deterministic Packet Marking: An IP Traceback System to Find the Real Source of Attacks
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2009
Game Theoretical Adversarial Deep Learning With Variational Adversaries
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 11-2021
A Sensor Enabled Multi-Agent Infrastructure for Applications Integration
Publisher: Springer Berlin Heidelberg
Date: 2005
IMPROVING THE PERFORMANCE OF THE LMS AND RLS ALGORITHMS FOR ADAPTIVE EQUALIZER
Publisher: WORLD SCIENTIFIC
Date: 04-2003
My face is mine: Fighting unpermitted tagging on personal/group photos in social media
Publisher: Springer International Publishing
Date: 2017
MFE-HAR: Multiscale feature engineering for human activity recognition using wearable sensors
Publisher: ACM
Date: 12-11-2019
A Differential Game Approach to Patch Injection
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2018
Frequency distribution of TATA Box and extension sequences on human promoters
Publisher: Springer Science and Business Media LLC
Date: 12-2006
Learning Rating Patterns for Top-N Recommendations
Publisher: IEEE
Date: 08-2012
More than Privacy
Publisher: Association for Computing Machinery (ACM)
Date: 18-07-2021
DOI: 10.1145/3460771
Abstract: The vast majority of artificial intelligence solutions are founded on game theory, and differential privacy is emerging as perhaps the most rigorous and widely adopted privacy paradigm in the field. However, alongside all the advancements made in both these fields, there is not a single application that is not still vulnerable to privacy violations, security breaches, or manipulation by adversaries. Our understanding of the interactions between differential privacy and game theoretic solutions is limited. Hence, we undertook a comprehensive review of literature in the field, finding that differential privacy has several advantageous properties that can make more of a contribution to game theory than just privacy protection. It can also be used to build heuristic models for game-theoretic solutions, to avert strategic manipulations, and to quantify the cost of privacy protection. With a focus on mechanism design, the aim of this article is to provide a new perspective on the currently held impossibilities in game theory, potential avenues to circumvent those impossibilities, and opportunities to improve the performance of game-theoretic solutions with differentially private techniques.
Silence is Golden: Enhancing Privacy of Location-Based Services by Content Broadcasting and Active Caching in Wireless Vehicular Networks
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2016
Classification of Correlated Internet Traffic Flows
Publisher: IEEE
Date: 06-2012
K-Source: Multiple source selection for traffic offloading in mobile social networks
Publisher: IEEE
Date: 10-2016
Differentially private query learning: From data publishing to model publishing
Publisher: IEEE
Date: 12-2017
A Hybrid Privacy Protection Scheme in Cyber-Physical Social Networks
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2018
Network Traffic Classification Using Correlation Information
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2013
DOI: 10.1109/TPDS.2012.98
TrustCom 2013: Message from the general chairs
Publisher: IEEE
Date: 07-2013
Identifying propagation source in time-varying networks
Publisher: Springer International Publishing
Date: 21-11-2019
Identifying Multiple Propagation Sources
Publisher: Springer International Publishing
Date: 21-11-2018
Adversarial Attacks Against Deep Generative Models on Data: A Survey
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2023
Identifying Propagation Source in Large-Scale Networks
Publisher: Springer International Publishing
Date: 21-11-2018
Future Directions and Conclusion
Publisher: Springer International Publishing
Date: 21-11-2018
GHIRS: Integration of Hotel Management Systems by Web Services
Publisher: Springer Berlin Heidelberg
Date: 2004
Malware propagations in wireless Ad Hoc networks
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 11-2018
Are the popular users always important for information dissemination in online social networks?
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2014
From e-Learning to Virtual Learning Community: Bridging the Gap
Publisher: Springer Berlin Heidelberg
Date: 2004
Maximizing User Service Satisfaction for Delay-Sensitive IoT Applications in Edge Computing
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2022
Secure RFID tag ownership transfer based on quadratic residues
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 02-2013
Desynchronization-attack-resilient audio watermarking mechanism for stereo signals using the linear correlation between channels
Publisher: Springer Science and Business Media LLC
Date: 12-06-2021
Message from the SMPE 2010 Chairs
Publisher: IEEE
Date: 04-2010
Recommendation Techniques Based on Off-Line Data Processing a Multifaceted Survey
Publisher: IEEE
Date: 10-2013
DOI: 10.1109/SKG.2013.23
A Sword with Two Edges: Propagation Studies on Both Positive and Negative Information in Online Social Networks
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2015
Query verification schemes for cloud-hosted databases: a brief survey
Publisher: Informa UK Limited
Date: 17-02-2016
Secure ownership transfer in multi-tag/multi-owner passive RFID systems
Publisher: IEEE
Date: 12-2013
Lease based addressing for event-driven wireless sensor networks
Publisher: IEEE
Date: 2006
DOI: 10.1109/ISCC.2006.93
Leakage-Free Dissemination of Authenticated Tree-Structured Data With Multi-Party Control
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-0005
Detecting stepping stones by abnormal causality probability
Publisher: Wiley
Date: 23-06-2014
DOI: 10.1002/SEC.1037
Advances in network and system security
Publisher: Wiley
Date: 29-02-2012
DOI: 10.1002/CPE.2810
Large-Scale Biological Sequence Assembly and Alignment by Using Computing Grid
Publisher: Springer Berlin Heidelberg
Date: 2004
Advanced services for Clusters and Internet computing
Publisher: Elsevier BV
Date: 05-2004
Connectivity-based shape descriptors
Publisher: ACTA Press
Date: 2010
Network sparse representation: Decomposition, dimensionality-reduction and reconstruction
Publisher: Elsevier BV
Date: 06-2020
Traceback of DDoS attacks using entropy variations
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2012
DOI: 10.1109/TPDS.2010.97
Towards an Interactive Architecture for Web-Based Databases
Publisher: Springer Berlin Heidelberg
Date: 2004
A Quick-Response Real-Time Stepping Stone Detection Scheme
Publisher: IEEE
Date: 09-2010
DOI: 10.1109/HPCC.2010.17
Message from the General and Program Committee Chairs
Publisher: IEEE
Date: 2008
Biological Sequence Assembly and Alignment
Publisher: Springer-Verlag
Date: 2005
Privacy Data Propagation and Preservation in Social Media: A Real-World Case Study
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2023
Privacy Intelligence: A Survey on Image Privacy in Online Social Networks
Publisher: Association for Computing Machinery (ACM)
Date: 23-12-2022
DOI: 10.1145/3547299
Abstract: Image sharing on online social networks (OSNs) has become an indispensable part of daily social activities, but it has also increased the risk of privacy invasion. An online image can reveal various types of sensitive information, prompting the public to rethink in idual privacy needs in OSN image sharing critically. However, the interaction of images and OSN makes the privacy issues significantly complicated. The current real-world solutions for privacy management fail to provide adequate personalized, accurate, and flexible privacy protection. Constructing a more intelligent environment for privacy-friendly OSN image sharing is urgent in the near future. Meanwhile, given the dynamics in both users’ privacy needs and OSN context, a comprehensive understanding of OSN image privacy throughout the entire sharing process is preferable to any views from a single side, dimension, or level. To fill this gap, we contribute a survey of “privacy intelligence” that targets modern privacy issues in dynamic OSN image sharing from a user-centric perspective. Specifically, we present the important properties and a taxonomy of OSN image privacy, along with a high-level privacy analysis framework based on the lifecycle of OSN image sharing. The framework consists of three stages with different principles of privacy by design. At each stage, we identify typical user behaviors in OSN image sharing and their associated privacy issues. Then a systematic review of representative intelligent solutions to those privacy issues is conducted, also in a stage-based manner. The analysis results in an intelligent “privacy firewall” for closed-loop privacy management. Challenges and future directions in this area are also discussed.
Managing Replicated Remote Procedure Call Transactions
Publisher: Oxford University Press (OUP)
Date: 07-1999
Security in the online e-learning environment
Publisher: IEEE
Date: 2005
An Operational Approach to Validate the Path of BGP
Publisher: Springer Berlin Heidelberg
Date: 2008
Multi-Core Defense System (MSDS) for Protecting Computer Infrastructure against DDoS Attacks
Publisher: IEEE
Date: 2008
Familial Clustering for Weakly-Labeled Android Malware Using Hybrid Representation Learning
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2020
Building Virtual Learning Communities
Publisher: IGI Global
Date: 2006
DOI: 10.4018/978-1-59140-729-4.CH004
Abstract: This chapter introduces the concept of virtual learning communities and discusses and further enhances the theory and definitions presented in related literature. A model comprising four criteria essential to virtual learning communities is presented and discussed in detail. Theory and case studies relating to the impact of virtual learning communities on distance education and students from erse cultural groups are also examined. In addition, this chapter investigates the enabling technologies and facilitation that is required to build virtual learning communities. Other case studies are used to illustrate the process of building virtual learning communities. Emerging technologies such as wikis and video lectures are also analysed to determine the effects they have on building and sustaining effective virtual learning communities.
An innovative analyser for multi-classifier e-mail classification based on grey list analysis
Publisher: Elsevier BV
Date: 03-2009
A practical quadratic residues based scheme for authentication and privacy in mobile RFID systems
Publisher: Elsevier BV
Date: 2013
Special issue: Building secure parallel and distributed networks and systems
Publisher: Elsevier BV
Date: 04-2011
Special Issue: Securing Distributed Networks and Systems
Publisher: Wiley
Date: 08-03-2011
DOI: 10.1002/CPE.1703
Privacy and evolutionary cooperation in neural-network-based game theory
Publisher: Elsevier BV
Date: 12-2023
Using Adversarial Noises to Protect Privacy in Deep Learning Era
Publisher: IEEE
Date: 12-2018
Personalized Privacy Preserving Collaborative Filtering
Publisher: Springer International Publishing
Date: 2017
Related Organisations
Related Funding Activities
Linkage Projects - Grant ID: LP170100458
Start Date: 07-2018
End Date: 05-2022
Amount: $310,000.00
Funder: Australian Research Council
View Funded ActivityDiscovery Projects - Grant ID: DP0773264
Start Date: 2007
End Date: 06-2010
Amount: $222,000.00
Funder: Australian Research Council
View Funded ActivityLinkage Projects - Grant ID: LP120200266
Start Date: 12-2012
End Date: 12-2016
Amount: $240,000.00
Funder: Australian Research Council
View Funded ActivityDiscovery Projects - Grant ID: DP1095498
Start Date: 07-2010
End Date: 12-2013
Amount: $220,000.00
Funder: Australian Research Council
View Funded ActivityDiscovery Projects - Grant ID: DP140103649
Start Date: 2014
End Date: 12-2017
Amount: $330,000.00
Funder: Australian Research Council
View Funded ActivityLinkage Projects - Grant ID: LP100100208
Start Date: 03-2010
End Date: 12-2014
Amount: $159,106.00
Funder: Australian Research Council
View Funded ActivityLinkage Projects - Grant ID: LP0562156
Start Date: 12-2005
End Date: 06-2009
Amount: $72,444.00
Funder: Australian Research Council
View Funded ActivityLinkage Projects - Grant ID: LP100100816
Start Date: 08-2010
End Date: 12-2014
Amount: $159,106.00
Funder: Australian Research Council
View Funded ActivityLinkage Projects - Grant ID: LP170100924
Start Date: 01-2019
End Date: 01-2023
Amount: $450,000.00
Funder: Australian Research Council
View Funded ActivityDiscovery Projects - Grant ID: DP180102828
Start Date: 09-2018
End Date: 09-2021
Amount: $372,725.00
Funder: Australian Research Council
View Funded ActivityLinkage Projects - Grant ID: LP180101150
Start Date: 02-2020
End Date: 12-2023
Amount: $320,000.00
Funder: Australian Research Council
View Funded ActivityLinkage Projects - Grant ID: LP170100123
Start Date: 2018
End Date: 06-2021
Amount: $300,000.00
Funder: Australian Research Council
View Funded ActivityDiscovery Projects - Grant ID: DP190100981
Start Date: 08-2019
End Date: 08-2022
Amount: $314,000.00
Funder: Australian Research Council
View Funded Activity