ORCID Profile
0000-0002-3289-6599
Current Organisations
Commonwealth Scientific and Industrial Research Organisation
,
CSIRO
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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)
Pattern Recognition and Data Mining | Computer System Security | Data Format | Data Encryption | Computer Software | Artificial Intelligence and Image Processing
ANZSRC Socio-Economic Objective (SEO)
Application Tools and System Utilities | Computer Software and Services not elsewhere classified | Electronic Information Storage and Retrieval Services |
Related Links
Publications
A Trust Prediction Model for Service Web
Publisher: IEEE
Date: 11-2011
A Multi-Vocal Review of Security Orchestration
Publisher: Association for Computing Machinery (ACM)
Date: 30-04-2019
DOI: 10.1145/3305268
Abstract: Organizations use erse types of security solutions to prevent cyber-attacks. Multiple vendors provide security solutions developed using heterogeneous technologies and paradigms. Hence, it is a challenging rather impossible to easily make security solutions to work an integrated fashion. Security orchestration aims at smoothly integrating multivendor security tools that can effectively and efficiently interoperate to support security staff of a Security Operation Centre (SOC). Given the increasing role and importance of security orchestration, there has been an increasing amount of literature on different aspects of security orchestration solutions. However, there has been no effort to systematically review and analyze the reported solutions. We report a Multivocal Literature Review that has systematically selected and reviewed both academic and grey (blogs, web pages, white papers) literature on different aspects of security orchestration published from January 2007 until July 2017. The review has enabled us to provide a working definition of security orchestration and classify the main functionalities of security orchestration into three main areas—unification, orchestration, and automation. We have also identified the core components of a security orchestration platform and categorized the drivers of security orchestration based on technical and socio-technical aspects. We also provide a taxonomy of security orchestration based on the execution environment, automation strategy, deployment type, mode of task and resource type. This review has helped us to reveal several areas of further research and development in security orchestration.
ADSL: An Embedded Domain-Specific Language for Constraint-Based Distributed Self-Management
Publisher: IEEE
Date: 11-2018
Using Gamification in an Online Community
Publisher: IEEE
Date: 2012
NoisFre: Noise-Tolerant Memory Fingerprints From Commodity Devices for Security Functions
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
Fine with “1234”? An Analysis of SMS One-Time Password Randomness in Android Apps
Publisher: IEEE
Date: 05-2021
Self Protecting Data Sharing Using Generic Policies
Publisher: IEEE
Date: 05-2015
Modeling social worm propagation for advanced persistent threats
Publisher: Elsevier BV
Date: 09-2021
Using time-sensitive interactions to improve topic derivation in twitter
Publisher: Springer Science and Business Media LLC
Date: 06-10-2017
A Trust Ontology for Semantic Services
Publisher: IEEE
Date: 07-2010
DOI: 10.1109/SCC.2010.42
Incentivising Resource Sharing in Edge Computing Applications
Publisher: Springer International Publishing
Date: 2017
Facilitating Secure Sharing of Personal Health Data in the Cloud
Publisher: JMIR Publications Inc.
Date: 27-05-2016
An efficient quasi-identifier index based approach for privacy preservation over incremental data sets on cloud
Publisher: Elsevier BV
Date: 08-2013
Compcrypt-Lightweight ANS-Based Compression and Encryption
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2021
AgrEvader: Poisoning Membership Inference against Byzantine-robust Federated Learning
Publisher: ACM
Date: 30-04-2023
Privacy-protected social media user trajectories calibration
Publisher: IEEE
Date: 10-2017
Interaction Based Content Recommendation in Online Communities
Publisher: Springer Berlin Heidelberg
Date: 2013
Evaluation of Federated Learning in Phishing Email Detection
Publisher: MDPI AG
Date: 27-04-2023
DOI: 10.3390/S23094346
Abstract: The use of artificial intelligence (AI) to detect phishing emails is primarily dependent on large-scale centralized datasets, which has opened it up to a myriad of privacy, trust, and legal issues. Moreover, organizations have been loath to share emails, given the risk of leaking commercially sensitive information. Consequently, it has been difficult to obtain sufficient emails to train a global AI model efficiently. Accordingly, privacy-preserving distributed and collaborative machine learning, particularly federated learning (FL), is a desideratum. As it is already prevalent in the healthcare sector, questions remain regarding the effectiveness and efficacy of FL-based phishing detection within the context of multi-organization collaborations. To the best of our knowledge, the work herein was the first to investigate the use of FL in phishing email detection. This study focused on building upon a deep neural network model, particularly recurrent convolutional neural network (RNN) and bidirectional encoder representations from transformers (BERT), for phishing email detection. We analyzed the FL-entangled learning performance in various settings, including (i) a balanced and asymmetrical data distribution among organizations and (ii) scalability. Our results corroborated the comparable performance statistics of FL in phishing email detection to centralized learning for balanced datasets and low organizational counts. Moreover, we observed a variation in performance when increasing the organizational counts. For a fixed total email dataset, the global RNN-based model had a 1.8% accuracy decrease when the organizational counts were increased from 2 to 10. In contrast, BERT accuracy increased by 0.6% when increasing organizational counts from 2 to 5. However, if we increased the overall email dataset by introducing new organizations in the FL framework, the organizational level performance improved by achieving a faster convergence speed. In addition, FL suffered in its overall global model performance due to highly unstable outputs if the email dataset distribution was highly asymmetric.
PAIRS: Privacy-Aware Identification and Recommendation of Spatio-Friends
Publisher: IEEE
Date: 08-2018
Daedalus: Breaking Nonmaximum Suppression in Object Detection via Adversarial Examples
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-2022
An accountable access control scheme for hierarchical content in named data networks with revocation
Publisher: Springer International Publishing
Date: 2020
Geometric Range Search on Encrypted Data With Forward/Backward Security
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2022
A Service-Oriented User Interface for the Next Generation Web
Publisher: IGI Global
Date: 04-2011
Abstract: The Web enters a new era where contents are to take the back seat and services will take the driver seat to form a service-oriented Web. This paper presents a service-oriented user interface design for the next generation Web. The design leverages the advances of semantic Web and service composition technologies to provide an intelligent and generic user interface to query, compose and execute Web services for a variety of user tasks. First, a simple cost model is developed for estimating the development and learning overheads of Web service interfaces for service-oriented applications as the motivation of this work. Then, the authors present the design of the service-oriented browser and discuss the enabling technologies. A prototype system is developed using existing technologies and standards as a proof of concept.
Proximity-Aware Local-Recoding Anonymization with MapReduce for Scalable Big Data Privacy Preservation in Cloud
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-2015
An Improved Lightweight RFID Authentication Protocol for Internet of Things
Publisher: Springer International Publishing
Date: 2018
Why Is It Difficult for Welfare Recipients to Return to Work? A Case Study through a Collaborative Online Community
Publisher: IEEE
Date: 11-2016
DOI: 10.1109/CIC.2016.017
Orchestration or Automation: Authentication Flaw Detection in Android Apps
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2022
Caring for the Last 3%: Telehealth Potential and Broadband Implications for Remote Australia
Publisher: CSIRO
Date: 2012
Practical Backward-Secure Searchable Encryption from Symmetric Puncturable Encryption
Publisher: ACM
Date: 15-10-2018
A lightweight authentication scheme for vehicular ad hoc networks based on MSR
Publisher: Elsevier BV
Date: 2019
A survey of recent methods on deriving topics from Twitter
Publisher: Springer Science and Business Media LLC
Date: 09-01-2020
Two-Factor Decryption: A Better Way to Protect Data Security and Privacy
Publisher: Oxford University Press (OUP)
Date: 07-07-2020
Abstract: Biometric information is unique to a human, so it would be desirable to use the biometric characteristic as the private key in a cryptographic system to protect data security and privacy. In this paper, we introduce a notion called two-factor decryption (TFD). Informally speaking, a TFD scheme is a variant of the public-key encryption (PKE) scheme. In a TFD scheme, messages are encrypted under public keys as that in a standard PKE scheme, but both private keys (i.e. the first factor) and biometric inputs (i.e. the second factor) are required to decrypt the ciphertexts and obtain the underlying plaintexts. We first describe a framework of TFD, and then define a formal security model for TFD. Thereafter, we present a generic construction on TFD based on the cryptographic primitives of linear sketch and functional encryption (FE) with certain properties and analyse its security. In addition, we give instantiations of TFD by applying concrete FE schemes into the generic construction and show their applications.
Adversarial Detection by Latent Style Transformations
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2022
Querying Streaming XML Big Data with Multiple Filters on Cloud
Publisher: IEEE
Date: 12-2013
DOI: 10.1109/CSE.2013.163
Decentralized Voting: A Self-tallying Voting System Using a Smart Contract on the Ethereum Blockchain
Publisher: Springer International Publishing
Date: 2018
WebRTC-based video conferencing service for telehealth
Publisher: Springer Science and Business Media LLC
Date: 25-09-2016
A Secure Big Data Stream Analytics Framework for Disaster Management on the Cloud
Publisher: IEEE
Date: 12-2016
Privacy Preservation over Big Data in Cloud Systems
Publisher: Springer Berlin Heidelberg
Date: 04-09-2013
An efficient and expressive ciphertext-policy attribute-based encryption scheme with partially hidden access structures, revisited
Publisher: Elsevier BV
Date: 03-2018
The importance of social identity on password formulations
Publisher: Springer Science and Business Media LLC
Date: 07-11-2021
Political Connections and Corporate Borrowing: an Analysis on the Listed Real Estate Firms in China
Publisher: Springer Science and Business Media LLC
Date: 18-08-2018
Secure Data Sharing in the Cloud
Publisher: Springer Berlin Heidelberg
Date: 04-09-2013
Fuzzy Extractors for Biometric Identification
Publisher: IEEE
Date: 06-2017
TrustVis: A Trust Visualisation Service for Online Communities
Publisher: Springer Berlin Heidelberg
Date: 2013
Social Media for Government Services: An Introduction
Publisher: Springer International Publishing
Date: 2015
Not Seen, Not Heard in the Digital World! Measuring Privacy Practices in Children’s Apps
Publisher: ACM
Date: 30-04-2023
Introduction to the Special Section on Advances in Internet-based Collaborative Technologies
Publisher: Association for Computing Machinery (ACM)
Date: 31-08-2019
DOI: 10.1145/3361071
Abstract: In iduals, organizations, and government agencies are increasingly relying on Internet-enabled collaboration among distributed teams of humans, computer applications, and autonomous entities such as robots to develop products and deliver services. Technology trends in areas such as networking, data analytics, and distributed systems have significantly shifted the landscape of Internet-based collaborative tools and services. This particular special issue contains articles describing novel and innovative Internet-based collaborative technologies that leverage emerging technologies and enable seamless collaboration.
A Universal Deduplication Architecture for Secure and Efficient Cloud Storage
Publisher: IEEE
Date: 12-2022
Next Step: An Online Community for Delivering Human Services
Publisher: Springer International Publishing
Date: 2015
Security is the Weakest Link
Publisher: ACM
Date: 02-07-2019
Privacy-Preserving User Profile Matching in Social Networks
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-2020
TweetRipple: Understanding Your Twitter Audience and the Impact of Your Tweets
Publisher: IEEE
Date: 11-2016
DOI: 10.1109/CIC.2016.043
Android HIV: A Study of Repackaging Malware for Evading Machine-Learning Detection
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2020
Privacy-Preserving Layer over MapReduce on Cloud
Publisher: IEEE
Date: 11-2012
DOI: 10.1109/CGC.2012.43
Developing Dependable and Secure Cloud Applications
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2016
DOI: 10.1109/MIC.2016.67
Generating Semantic Adversarial Examples via Feature Manipulation in Latent Space
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
ANS-based compression and encryption with 128-bit security
Publisher: Springer Science and Business Media LLC
Date: 13-07-2022
DOI: 10.1007/S10207-022-00597-4
Abstract: The bulk of Internet interactions is highly redundant and also security sensitive. To reduce communication bandwidth and provide a desired level of security, a data stream is first compressed to squeeze out redundant bits and then encrypted using authenticated encryption. This generic solution is very flexible and works well for any pair of (compression, encryption) algorithms. Its downside, however, is the fact that the two algorithms are designed independently. One would expect that designing a single algorithm that compresses and encrypts (called compcrypt) should produce benefits in terms of efficiency and security. The work investigates how to design a compcrypt algorithm using the ANS entropy coding. First, we examine basic properties of ANS and show that a plain ANS with a hidden encoding table can be broken by statistical attacks. Next, we study ANS behavior when its states are chosen at random. Our compcrypt algorithm is built using ANS with randomized state jumps and a sponge MonkeyDuplex encryption. Its security and efficiency are discussed. The design provides 128-bit security for both confidentiality and integrity/authentication. Our implementation experiments show that our compcrypt algorithm processes symbols with a rate up to 269 MB/s (with a slight loss of compression rate) 178 MB/s.
A Note on Quality of Service Issues in Smart Cities
Publisher: Elsevier BV
Date: 05-2019
An efficient KP-ABE with short ciphertexts in prime order groups under standard assumption
Publisher: ACM
Date: 02-04-2017
Mirror, Mirror, on the Web, Which Is the Most Reputable Service of Them All?
Publisher: Springer Berlin Heidelberg
Date: 2013
Internet of Things (IoT) and Cloud Computing Enabled Disaster Management
Publisher: Springer International Publishing
Date: 2020
Privacy Preserving Location-Aware Personalized Web Service Recommendations
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2021
Privacy Preserving User Based Web Service Recommendations
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2018
TruXy: Trusted storage cloud for scientific workflows
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2015
Achieving Scalable Access Control Over Encrypted Data for Edge Computing Networks
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2018
The design of an online community for welfare recipients
Publisher: ACM
Date: 26-11-2012
Benchmarking for end-to-end QoS sustainability in Cloud-hosted Data Processing Pipelines
Publisher: IEEE
Date: 12-2019
Design and Evaluation of a Multi-Domain Trojan Detection Method on Deep Neural Networks
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2022
Dynalogue: A Transformer-Based Dialogue System with Dynamic Attention
Publisher: ACM
Date: 30-04-2023
A MapReduce Based Approach of Scalable Multidimensional Anonymization for Big Data Privacy Preservation on Cloud
Publisher: IEEE
Date: 09-2013
DOI: 10.1109/CGC.2013.24
DIaaS: Data Integrity as a Service in the Cloud
Publisher: IEEE
Date: 07-2011
OCTOPUS: Overcoming Performance and Privatization Bottlenecks in Distributed Learning
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2022
AuraEN: Autonomous Resource Allocation for Cloud-hosted Data Processing Pipelines
Publisher: Springer International Publishing
Date: 2021
Secure and Lightweight Authentication for Mobile-Edge Computing-Enabled WBANs
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 15-07-2022
Exploiting Heterogeneity for Opportunistic Resource Scaling in Cloud-hosted Applications
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 11-2021
Towards Decentralized Operationalization of Zero Trust Architecture
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-02-2022
DOI: 10.36227/TECHRXIV.19127090.V1
Abstract: This is the preprint version of ZTA operationalization approaches. We discuss three distinct categories: i) centralized operationalization of ZTA (cZTA), ii) federated operationalization of ZTA (fZTA), and iii) decentralized operationalization of ZTA (dZTA).
Evaluation and Optimization of Distributed Machine Learning Techniques for Internet of Things
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2022
A new privacy-preserving authentication protocol for anonymous web browsing
Publisher: Wiley
Date: 05-09-2019
DOI: 10.1002/CPE.4706
An internet of things service roadmap
Publisher: Association for Computing Machinery (ACM)
Date: 24-08-2021
DOI: 10.1145/3464960
Abstract: A blueprint for leveraging the tremendous opportunities the IoT has to offer.
Multi-client Cloud-based Symmetric Searchable Encryption
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2021
Leader self‐sacrifice: A systematic review of two decades of research and an agenda for future research
Publisher: Wiley
Date: 06-2022
DOI: 10.1111/APPS.12407
Abstract: The corridors of history are filled with ex les of leaders whose enduring legacies are typified by self‐sacrifice for the greater good during difficult times. Over the last two decades, scholarly interest in self‐sacrificial leader behaviours has increased. In the present article, we conduct a systematic review of prior empirical findings to highlight what we know about leader self‐sacrifice and galvanise future research to examine its implications for the workplace. To achieve this purpose, our review examines how leader self‐sacrifice has been defined and measured in previous work and develops an integrative framework that synthesises empirical work on its antecedents, outcomes, boundary conditions and underlying mechanisms. Based on our review, we articulate a comprehensive research agenda that identifies opportunities for theoretical, empirical and methodological advances in the field.
Cloud Computing and Scientific Applications — Big Data, Scalable Analytics, and Beyond
Publisher: Elsevier BV
Date: 09-2013
A survey of emerging threats in cybersecurity
Publisher: Elsevier BV
Date: 08-2014
A hybrid approach for scalable sub-tree anonymization over big data using MapReduce on cloud
Publisher: Elsevier BV
Date: 08-2014
Self-Improving Autonomic Systems for Antifragile Cyber Defence: Challenges and Opportunities
Publisher: IEEE
Date: 06-2020
Gamification on the Social Web
Publisher: Springer International Publishing
Date: 2015
Detecting Hardware-Assisted Virtualization With Inconspicuous Features
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2021
Scheduling Real-Time Security Aware Tasks in Fog Networks
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 11-2021
An empirical study of SMS one-time password authentication in Android apps
Publisher: ACM
Date: 09-12-2019
MPHC: Preserving Privacy for Workflow Execution in Hybrid Clouds
Publisher: IEEE
Date: 12-2013
Can a Government Use Social Media to Support Disadvantaged Citizens?
Publisher: IEEE
Date: 11-2016
DOI: 10.1109/CIC.2016.059
A Practical Authentication Protocol for Anonymous Web Browsing
Publisher: Springer International Publishing
Date: 2017
Tracking the Evolution of Clusters in Social Media Streams
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2023
Guest editorial: Special issue on data intensive cloud computing
Publisher: Springer Science and Business Media LLC
Date: 12-03-2015
Data Abstraction and Visualisation in Next Step: Experiences from a Government Services Delivery Trial
Publisher: IEEE
Date: 06-2013
Vulnerability Database as a Service for IoT
Publisher: Springer Singapore
Date: 2020
WhistleBlower: A System-level Empirical Study on RowHammer
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
Digital Twins and Cyber Security – solution or challenge?
Publisher: IEEE
Date: 24-09-2021
End-to-End Evaluation of Federated Learning and Split Learning for Internet of Things
Publisher: IEEE
Date: 09-2020
Accelerating Forward and Backward Private Searchable Encryption Using Trusted Execution
Publisher: Springer International Publishing
Date: 2020
Automated Interpretation and Integration of Security Tools Using Semantic Knowledge
Publisher: Springer International Publishing
Date: 2019
Cloud Docs: Secure Scalable Document Sharing on Public Clouds
Publisher: IEEE
Date: 06-2015
Assessing Social License to Operate from the Public Discourse on Social Media
Publisher: International Committee on Computational Linguistics
Date: 2020
Cyber Security - A Roadmap to enable growth opportunities for Australia
Publisher: CSIRO
Date: 2018
Secure and Controlled Sharing of Data in Distributed Computing
Publisher: IEEE
Date: 12-2013
DOI: 10.1109/CSE.2013.125
Privacy-Aware Autonomous Valet Parking: Towards Experience Driven Approach
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-2020
Matrix Inter-joint Factorization-A New Approach for Topic Derivation in Twitter
Publisher: IEEE
Date: 06-2015
Deriving Topics in Twitter by Exploiting Tweet Interactions
Publisher: IEEE
Date: 06-2015
Recognising Agreement and Disagreement between Stances with Reason Comparing Networks
Publisher: Association for Computational Linguistics
Date: 2019
DOI: 10.18653/V1/P19-1460
Biometric Enabled Portable Trusted Computing Platform
Publisher: IEEE
Date: 11-2011
Secure Connectivity for Intra-cloud and Inter-cloud Communication
Publisher: IEEE
Date: 09-2011
Pay as You Decrypt: Decryption Outsourcing for Functional Encryption Using Blockchain
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2020
Monitoring of Chronic Disease in the community: Australian Telehealth Study on Organisational Challenges and Economic Impact
Publisher: Ubiquity Press, Ltd.
Date: 16-12-2016
DOI: 10.5334/IJIC.2654
SOAC-Net: A Model to Manage Service-Based Business Process Authorization
Publisher: IEEE
Date: 06-2012
DOI: 10.1109/SCC.2012.37
NDN-RBE: An Accountable Privacy Aware Access Control Framework For NDN
Publisher: Oxford University Press (OUP)
Date: 12-08-2023
Abstract: Named Data Networking (NDN) is an emerging network architecture. An important characteristic of NDN is its in-network cache, which enables Data packets to be available from multiple locations on the Internet. Hence the enforcement of access control mechanisms becomes even more critical in the NDN. This paper proposes a novel access control scheme referred to as Role-Based Encryption for NDN (NDN-RBE), which uses a broadcast encryption mechanism to achieve secure data access control. Our scheme uses the role inheritance property of the traditional Role-Based Access Control (RBAC) model to achieve efficient data access control over hierarchical content. This makes our scheme particularly suitable for large-scale real-world content-centric services like Netflix. Our scheme also supports additional design features such as anonymous signature-based authentication, batch signature verification and two types of privilege revocations. In addition, our formal security analysis demonstrates that our scheme is provably secure against Chosen Plaintext Attacks. Our performance and functionality comparison show that our scheme outperforms other notable existing works in terms of security, functionality, computation, communication and storage overhead. Furthermore, our experimental results show an improvement in content delivery time of the order of 15 percent compared with the other closely related works.
Deep Multi-Attributed-View Graph Representation Learning
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2022
What and with whom? Identifying topics in Twitter through both interactions and text
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2020
OblivSketch: Oblivious Network Measurement as a Cloud Service
Publisher: Internet Society
Date: 2021
Diverse Multimedia Layout Generation with Multi Choice Learning
Publisher: ACM
Date: 17-10-2021
Statistical Twitter Spam Detection Demystified: Performance, Stability and Scalability
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2017
International Journal of Systems and Service-Oriented Engineering
Publisher: IGI Global
Date: 2011
DOI: 10.4018/IJSSOE
Reconstruction Attack on Differential Private Trajectory Protection Mechanisms
Publisher: ACM
Date: 05-12-2022
Threats to Networking Cloud and Edge Datacenters in the Internet of Things
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2016
DOI: 10.1109/MCC.2016.63
A Defence Against Input-Agnostic Backdoor Attacks on Deep Neural Networks
Publisher: Springer International Publishing
Date: 2020
A platform for secure monitoring and sharing of generic health data in the Cloud
Publisher: Elsevier BV
Date: 06-2014
A Declarative Recommender System for Cloud Infrastructure Services Selection
Publisher: Springer Berlin Heidelberg
Date: 2012
STrust: A Trust Model for Social Networks
Publisher: IEEE
Date: 11-2011
Social Media for Government Services
Publisher: Springer International Publishing
Date: 2015
A Comprehensive Survey on Community Detection With Deep Learning
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2022
Introduction to the 3rd International Workshop on Cloud Computing and Scientific Applications (CCSA’13)
Publisher: Springer International Publishing
Date: 2014
I Believe!
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2012
DOI: 10.1109/MS.2012.10
Lightweight Authentication Protocol (LAUP) for 6LoWPAN Wireless Sensor Networks
Publisher: IEEE
Date: 08-2017
Optimizing Secure Decision Tree Inference Outsourcing
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2023
Meltdown-type attacks are still feasible in the wall of kernel page-Table isolation
Publisher: Elsevier BV
Date: 02-2022
ShieldDB: An Encrypted Document Database With Padding Countermeasures
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2023
Designing for reflection and collaboration to support a transition from welfare to work
Publisher: ACM
Date: 23-02-2013
Engagement and Cooperation in Social Networks: Do Benefits and Rewards Help?
Publisher: IEEE
Date: 06-2012
Privacy-Aware Scheduling SaaS in High Performance Computing Environments
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2017
Preserving Privacy for Distributed Genome-Wide Analysis Against Identity Tracing Attacks
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2023
Bootstrapping Trust in a Trusted Virtualized Platform
Publisher: ACM
Date: 15-11-2019
Online Multiple Workflow Scheduling under Privacy and Deadline in Hybrid Cloud Environment
Publisher: IEEE
Date: 12-2014
AWaRE - Towards Distributed Self-Management for Resilient Cyber Systems
Publisher: IEEE
Date: 12-2018
Towards Quality-assured Data Delivery in Cloud-based IoT Platforms for Smart Cities
Publisher: IEEE
Date: 10-2017
A Time Efficient Approach for Detecting Errors in Big Sensor Data on Cloud
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 02-2015
Testbed evaluation of Lightweight Authentication Protocol (LAUP) for 6LoWPAN wireless sensor networks
Publisher: Wiley
Date: 27-08-2019
DOI: 10.1002/CPE.4868
Domain-aware reputable service recommendation in heterogeneous manufacturing service ecosystem
Publisher: Informa UK Limited
Date: 14-10-2014
SEEN: A Selective Encryption Method to Ensure Confidentiality for Big Sensing Data Streams
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2019
Efficient and Anonymous Authentication for Healthcare Service With Cloud Based WBANs
Publisher: IEEE
Date: 09-2021
SAM: Multi-turn Response Selection Based on Semantic Awareness Matching
Publisher: Association for Computing Machinery (ACM)
Date: 28-02-2023
DOI: 10.1145/3545570
Abstract: Multi-turn response selection is a key issue in retrieval-based chatbots and has attracted considerable attention in the NLP (Natural Language processing) field. So far, researchers have developed many solutions that can select appropriate responses for multi-turn conversations. However, these works are still suffering from the semantic mismatch problem when responses and context share similar words with different meanings. In this article, we propose a novel chatbot model based on Semantic Awareness Matching, called SAM. SAM can capture both similarity and semantic features in the context by a two-layer matching network. Appropriate responses are selected according to the matching probability made through the aggregation of the two feature types. In the evaluation, we pick 4 widely used datasets and compare SAM’s performance to that of 12 other models. Experiment results show that SAM achieves substantial improvements, with up to 1.5% R 10 @1 on Ubuntu Dialogue Corpus V2, 0.5% R 10 @1 on Douban Conversation Corpus, and 1.3% R 10 @1 on E-commerce Corpus.
A Social Trust Based Friend Recommender for Online Communities
Publisher: ICST
Date: 2013
Security Analysis of Mobile Applications: A Case Study of a Collaboration Tool in Healthcare
Publisher: ICST
Date: 2013
Towards Decentralized Operationalization of Zero Trust Architecture
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-02-2022
DOI: 10.36227/TECHRXIV.19127090
Abstract: This is the preprint version of ZTA operationalization approaches. We discuss three distinct categories: i) centralized operationalization of ZTA (cZTA), ii) federated operationalization of ZTA (fZTA), and iii) decentralized operationalization of ZTA (dZTA).
Model-driven provisioning of application services in hybrid computing environments
Publisher: Elsevier BV
Date: 07-2013
A Test-bed for the Evaluation of Business Process Prediction Techniques
Publisher: IEEE
Date: 2011
SMARTSHIELD: Automatic Smart Contract Protection Made Easy
Publisher: IEEE
Date: 02-2020
Proof-of-QoS: QoS based blockchain consensus protocol
Publisher: Elsevier BV
Date: 11-2019
Towards IoT Security Automation and Orchestration
Publisher: IEEE
Date: 10-2020
A note on resource orchestration for cloud computing
Publisher: Wiley
Date: 10-11-2014
DOI: 10.1002/CPE.3421
PBCP: A Process-based Bussiness Collaboration Platform
Publisher: SCITEPRESS - Science and and Technology Publications
Date: 2016
Towards Proactive Risk-aware Cloud Cost Optimization Leveraging Transient Resources
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2023
Certificate-Based Anonymous Authentication With Efficient Aggregation for Wireless Medical Sensor Networks
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 15-07-2022
Guest Editors’ Introduction to the Joint Special Section on Secure and Emerging Collaborative Computing and Intelligent Systems
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2021
Keep Calm and Know Where to Focus: Measuring and Predicting the Impact of Android Malware
Publisher: Springer International Publishing
Date: 2018
User, Usage and Usability: Redefining Human Centric Cyber Security
Publisher: Frontiers Media SA
Date: 10-03-2021
DOI: 10.3389/FDATA.2021.583723
Abstract: The effectiveness of cyber security measures are often questioned in the wake of hard hitting security events. Despite much work being done in the field of cyber security, most of the focus seems to be concentrated on system usage. In this paper, we survey advancements made in the development and design of the human centric cyber security domain. We explore the increasing complexity of cyber security with a wider perspective, defining user, usage and usability (3U’s) as three essential components for cyber security consideration, and classify developmental efforts through existing research works based on the human centric security design, implementation and deployment of these components. Particularly, the focus is on studies that specifically illustrate the shift in paradigm from functional and usage centred cyber security, to user centred cyber security by considering the human aspects of users. The aim of this survey is to provide both users and system designers with insights into the workings and applications of human centric cyber security.
User Authentication for Online Applications Using a USB-Based Trust Device
Publisher: Springer Berlin Heidelberg
Date: 2010
Robust digital signature revisited
Publisher: Elsevier BV
Date: 12-2020
Exploiting the Remote Server Access Support of CoAP Protocol
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2019
Editorial: Human-Centric Security and Privacy
Publisher: Frontiers Media SA
Date: 17-02-2022
Scheduling Real Tim Security Aware Tasks in Fog Networks
Publisher: IEEE
Date: 09-2021
Fast and private multi-dimensional range search over encrypted data
Publisher: Elsevier BV
Date: 2024
Privacy-protected statistics publication over social media user trajectory streams
Publisher: Elsevier BV
Date: 10-2018
DLSeF
Publisher: Association for Computing Machinery (ACM)
Date: 19-12-2016
DOI: 10.1145/2937755
Abstract: Applications in risk-critical domains such as emergency management and industrial control systems need near-real-time stream data processing in large-scale sensing networks. The key problem is how to ensure online end-to-end security (e.g., confidentiality, integrity, and authenticity) of data streams for such applications. We refer to this as an online security verification problem. Existing data security solutions cannot be applied in such applications as they cannot deal with data streams with high-volume and high-velocity data in real time. They introduce a significant buffering delay during security verification, resulting in a requirement for a large buffer size for the stream processing server. To address this problem, we propose a Dynamic Key-Length-Based Security Framework (DLSeF) based on a shared key derived from synchronized prime numbers the key is dynamically updated at short intervals to thwart potential attacks to ensure end-to-end security. Theoretical analyses and experimental results of the DLSeF framework show that it can significantly improve the efficiency of processing stream data by reducing the security verification time and buffer usage without compromising security.
Guest Editorial: Special Issue on Clouds for Social Computing
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2014
Cyber Code Intelligence for Android Malware Detection
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
Data Architecture for Telehealth Services Research: A Case Study of Home Tele-Monitoring
Publisher: ICST
Date: 2013
eRiskCom: an e-commerce risky community detection platform
Publisher: Springer Science and Business Media LLC
Date: 17-01-2022
Realizing an Internet of Secure Things: A Survey on Issues and Enabling Technologies
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2020
A secure verifiable ranked choice online voting system based on homomorphic encryption
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2018
Practical Non-Interactive Searchable Encryption with Forward and Backward Privacy
Publisher: Internet Society
Date: 2021
CATTmew: Defeating Software-Only Physical Kernel Isolation
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2021
Towards Secure Edge-assisted Image Sharing for Timely Disaster Situation Awareness
Publisher: SCITEPRESS - Science and Technology Publications
Date: 2020
DeepFake Disrupter: The Detector of DeepFake Is My Friend
Publisher: IEEE
Date: 06-2022
A Verifiable Ranked Choice Internet Voting System
Publisher: Springer International Publishing
Date: 2017
On the Neural Backdoor of Federated Generative Models in Edge Computing
Publisher: Association for Computing Machinery (ACM)
Date: 22-10-2021
DOI: 10.1145/3425662
Abstract: Edge computing, as a relatively recent evolution of cloud computing architecture, is the newest way for enterprises to distribute computational power and lower repetitive referrals to central authorities. In the edge computing environment, Generative Models (GMs) have been found to be valuable and useful in machine learning tasks such as data augmentation and data pre-processing. Federated learning and distributed learning refer to training machine learning models in the edge computing network. However, federated learning and distributed learning also bring additional risks to GMs since all peers in the network have access to the model under training. In this article, we study the vulnerabilities of federated GMs to data-poisoning-based backdoor attacks via gradient uploading. We additionally enhance the attack to reduce the required poisonous data s les and cope with dynamic network environments. Last but not least, the attacks are formally proven to be stealthy and effective toward federated GMs. According to the experiments, neural backdoors can be successfully embedded by including merely 5\\% poisonous s les in the local training dataset of an attacker.
A Cloud Architecture of Virtual Trusted Platform Modules
Publisher: IEEE
Date: 12-2010
DOI: 10.1109/EUC.2010.125
MaLFraDA: A Machine Learning Framework with Data Airlock
Publisher: ACM
Date: 07-11-2022
Man-in-the-Middle Attacks Against Machine Learning Classifiers Via Malicious Generative Models
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2021
Context-sensitive user interfaces for semantic services
Publisher: Association for Computing Machinery (ACM)
Date: 2012
Abstract: Service-centric solutions usually require rich context to fully deliver and better reflect on the underlying applications. We present a novel use of context in the form of customized user interface services with the concept of User Interface as a Service (UIaaS). UIaaS takes user profiles as input to generate context-aware interface services. Such interface services can be used as context to augment semantic services with contextual information leading to UIaaS as a Context (UIaaSaaC). The added serendipitous benefit of the proposed concept is that the composition of a customized user interface with the requested service is performed by the service composition engine, as is the case with any other services. We use a special-purpose language (called User Interface Description Language (UIDL)) to model and realize user interfaces as services. We use a real-life e-government application, human services delivery for the citizens, as a proof-of-concept. We also present a comprehensive evaluation of the proposed approach using a functional evaluation and a nonfunctional evaluation consisting of an end user usability test and expert usability reviews.
Vulnerability Detection Using Deep Learning Based Function Classification
Publisher: Springer Nature Switzerland
Date: 2022
A Dynamic Key Length Based Approach for Real-Time Security Verification of Big Sensing Data Stream
Publisher: Springer International Publishing
Date: 2015
A survey of trust in social networks
Publisher: Association for Computing Machinery (ACM)
Date: 08-2013
Abstract: Web-based social networks have become popular as a medium for disseminating information and connecting like-minded people. The public accessibility of such networks with the ability to share opinions, thoughts, information, and experience offers great promise to enterprises and governments. In addition to in iduals using such networks to connect to their friends and families, governments and enterprises have started exploiting these platforms for delivering their services to citizens and customers. However, the success of such attempts relies on the level of trust that members have with each other as well as with the service provider. Therefore, trust becomes an essential and important element of a successful social network. In this article, we present the first comprehensive review of social and computer science literature on trust in social networks. We first review the existing definitions of trust and define social trust in the context of social networks. We then discuss recent works addressing three aspects of social trust: trust information collection , trust evaluation , and trust dissemination . Finally, we compare and contrast the literature and identify areas for further research in social trust.
RAIDER: Reinforcement-Aided Spear Phishing Detector
Publisher: Springer Nature Switzerland
Date: 2022
Securely and Efficiently Outsourcing Decision Tree Inference
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2022
Intelligent Anomaly Detection for Large Network Traffic with Optimized Deep Clustering (ODC) Algorithm
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2021
A Privacy Leakage Upper Bound Constraint-Based Approach for Cost-Effective Privacy Preserving of Intermediate Data Sets in Cloud
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2013
A logic for secure stratified systems and its application to containerized systems
Publisher: IEEE
Date: 08-2019
Privacy Preserving Location Recommendations
Publisher: Springer International Publishing
Date: 2017
Optimally Mitigating Backdoor Attacks in Federated Learning
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
A Cryptographically Enforced Access Control with a Flexible User Revocation on Untrusted Cloud Storage
Publisher: Springer Science and Business Media LLC
Date: 09-2016
Secure Multiparty Data Sharing in the Cloud Using Hardware-Based TPM Devices
Publisher: IEEE
Date: 06-2014
Innovations, Standards and Practices of Web Services
Publisher: IGI Global
Date: 2012
Cost-Effective Authenticated Data Redaction With Privacy Protection in IoT
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 15-07-2021
Defending Against Adversarial Attack Towards Deep Neural Networks Via Collaborative Multi-Task Training
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2022
Protecting the location privacy of mobile social media users
Publisher: IEEE
Date: 12-2016
Implicit Hammer: Cross-Privilege-Boundary Rowhammer Through Implicit Accesses
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2023
Internet of Things (IoT)
Publisher: Association for Computing Machinery (ACM)
Date: 07-12-2016
DOI: 10.1145/3013520
Abstract: The Internet of Things (IoT) is the latest Internet evolution that incorporates a erse range of things such as sensors, actuators, and services deployed by different organizations and in iduals to support a variety of applications. The information captured by IoT present an unprecedented opportunity to solve large-scale problems in those application domains to deliver services ex le applications include precision agriculture, environment monitoring, smart health, smart manufacturing, and smart cities. Like all other Internet based services in the past, IoT-based services are also being developed and deployed without security consideration. By nature, IoT devices and services are vulnerable to malicious cyber threats as they cannot be given the same protection that is received by enterprise services within an enterprise perimeter. While IoT services will play an important role in our daily life resulting in improved productivity and quality of life, the trend has also “encouraged” cyber-exploitation and evolution and ersification of malicious cyber threats. Hence, there is a need for coordinated efforts from the research community to address resulting concerns, such as those presented in this special section. Several potential research topics are also identified in this special section.
A Performance Evaluation of Public Cloud Using TPC-C
Publisher: Springer Berlin Heidelberg
Date: 2012
What risk? I don't understand. An Empirical Study on Users' Understanding of the Terms Used in Security Texts
Publisher: ACM
Date: 05-10-2020
Learning Influence Probabilities and Modelling Influence Diffusion in Twitter
Publisher: ACM
Date: 13-05-2019
A Government-Run Online Community to Support Recipients of Welfare Payments
Publisher: World Scientific Pub Co Pte Lt
Date: 06-2018
DOI: 10.1142/S0218843018500016
Abstract: With the ubiquitous presence of smart phones and the availability of easy-to-use applications, there is an increase in the number of online services. A growing number of people now search for information and interact online. They expect to see services available and accessible online. To meet citizens’ expectations, governments have also increased their online presence. However, information and services are not the only reasons people go online. People also build their social circle online, seeking support and empathy, looking for someone with whom they can talk and who can understand their situation and worries. Online communities (and social networks in general) have been shown to have the potential to provide social and emotional peer-support. Our work aimed at determining whether online communities could be deployed in the public administration domain, in particular to support people receiving welfare payments, with similar benefits. We hypothesized that an online community could provide such support to disadvantaged citizens. Toward testing this hypothesis, after a user requirements analysis and some preparatory work, we designed and developed an online community for a specific target group of welfare recipients, as a collaboration between CSIRO and the Australian Department of Human Services. The community was deployed for one year. In this paper, we briefly explain our aims and the work that went into preparing for the community. We introduce the portal and the support it offered. We then report our observations and findings about both the informational and emotional support participants received, through an analysis of the comments posted in the community, and whether this support was perceived as welcome and useful.
Efficient and Anonymous Authentication for Healthcare Service With Cloud Based WBANs
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2022
ReputationNet: A Reputation Engine to Enhance ServiceMap by Recommending Trusted Services
Publisher: IEEE
Date: 06-2012
DOI: 10.1109/SCC.2012.73
SDN-Enabled Secure IoT Architecture
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 15-04-2021
A Credential Usage Study: Flow-Aware Leakage Detection in Open-Source Projects
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
IoTChain: Establishing Trust in the Internet of Things Ecosystem Using Blockchain
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2018
Privacy-protected place of activity mining on big location data
Publisher: IEEE
Date: 12-2017
Sensitive gazetteer discovery and protection for mobile social media users
Publisher: IEEE
Date: 12-2017
An Ontology-Driven Approach to Automating the Process of Integrating Security Software Systems
Publisher: IEEE
Date: 05-2019
SaC‐FRAPP: a scalable and cost‐effective framework for privacy preservation over big data on cloud
Publisher: Wiley
Date: 04-07-2013
DOI: 10.1002/CPE.3083
Business Process Engine Simulator
Publisher: IEEE
Date: 05-2012
Trusting the Social Web: issues and challenges
Publisher: Springer Science and Business Media LLC
Date: 10-08-2013
A New Cloud Architecture of Virtual Trusted Platform Modules
Publisher: Institute of Electronics, Information and Communications Engineers (IEICE)
Date: 2012
Guest Editors’ Introduction to the Joint Special Section on Secure and Emerging Collaborative Computing and Intelligent Systems
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2021
IoT Middleware: A Survey on Issues and Enabling Technologies
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2017
Blockchain-Based Secure and Lightweight Authentication for Internet of Things
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2022
The Joint effects of tweet content similarity and tweet interactions for topic derivation
Publisher: IEEE
Date: 06-2017
Security, Privacy and Trust in Cloud Systems
Publisher: Springer Berlin Heidelberg
Date: 2014
Privacy-Preserving Collaborative Analytics on Medical Time Series Data
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2022
Location-Aware Service Recommendations With Privacy-Preservation in the Internet of Things
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 02-2021
Certified Copy? Understanding Security Risks of Wi-Fi Hotspot based Android Data Clone Services
Publisher: ACM
Date: 07-12-2020
Guest Editorial: Special Issue on Services Computing for COVID-19 and Future Pandemics
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2022
Towards end-to-end QoS and cost-aware resource scaling in cloud-based IoT data processing pipelines
Publisher: IEEE
Date: 07-2018
IoT Device Identification via Network-Flow Based Fingerprinting and Learning
Publisher: IEEE
Date: 08-2019
Catering to Your Concerns
Publisher: Association for Computing Machinery (ACM)
Date: 04-09-2019
DOI: 10.1145/3317699
Abstract: Android users are increasingly concerned with the privacy of their data and security of their devices. To improve the security awareness of users, recent automatic techniques produce security-centric descriptions by performing program analysis. However, the generated text does not always address users’ concerns as they are generally too technical to be understood by ordinary users. Moreover, different users have varied linguistic preferences that do not match the text. Motivated by this challenge, we develop an innovative scheme to help users avoid malware and privacy-breaching apps by generating security descriptions that explain the privacy and security related aspects of an Android app in clear and understandable terms. We implement a prototype system, PERSCRIPTION, to generate personalised security-centric descriptions that automatically learn users’ security concerns and linguistic preferences to produce user-oriented descriptions. We evaluate our scheme through experiments and user studies. The results clearly demonstrate the improvement on readability and users’ security awareness of PERSCRIPTION’s descriptions compared to existing description generators.
Impact of At-Home Telemonitoring on Health Services Expenditure and Hospital Admissions in Patients With Chronic Conditions: Before and After Control Intervention Analysis
Publisher: JMIR Publications Inc.
Date: 08-09-2017
Context-Aware Trust Management System for IoT Applications with Multiple Domains
Publisher: IEEE
Date: 07-2019
Barriers for Delivering Telehealth in Rural Australia: A Review Based on Australian Trials and Studies
Publisher: Mary Ann Liebert Inc
Date: 05-2014
Abstract: Australians in rural and remote areas live with far poorer health outcomes than those in urban areas. Telehealth services have emerged as a promising solution to narrow this health gap, as they improve the level and ersity of health services delivery to rural and remote Australian communities. Although the benefits of telehealth services are well studied and understood, the uptake has been very slow. To understand the underpinning issues, we conducted a literature review on barriers to telehealth adoption in rural and remote Australian communities, based on the published works of Australian clinical trials and studies. This article presents our findings using a comprehensive barrier matrix. This matrix is composed of four stakeholders (governments, technology developers and providers, health professionals, and patients) and five different categorizations of barriers (regulatory, financial, cultural, technological, and workforce). We explain each cell of the matrix (four stakeholders×five categories) and map the reported work into the matrix. Several exemplary barrier cases are also described to give more insights into the complexity and dilemma of adopting telehealth services. Finally, we outline recent technological advancements that have a great potential to overcome some of the identified barriers.
Osteoarthritis consumers as co-researchers: identifying consumer insights to improve osteoarthritis management by co-designing translational research solutions
Publisher: Elsevier BV
Date: 07-2023
A mobile and portable trusted computing platform
Publisher: Springer Science and Business Media LLC
Date: 25-08-2011
BitMine: An End-to-End Tool for Detecting Rowhammer Vulnerability
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2021
The patchwork governance of ecologically available water: A case study in the Upper Missouri Headwaters, Montana, United States
Publisher: Wiley
Date: 12-09-2023
Can pre-trained Transformers be used in detecting complex sensitive sentences? - A Monsanto case study
Publisher: IEEE
Date: 12-2021
Local Differential Privacy for Federated Learning
Publisher: Springer International Publishing
Date: 2022
Trustworthy Processing of Healthcare Big Data in Hybrid Clouds
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2005
DOI: 10.1109/MCC.2015.36
2019 Digital Image Computing: Techniques and Applications (DICTA)
Publisher: IEEE
Date: 2019
Backdoor Attacks against Transfer Learning with Pre-trained Deep Learning Models
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2020
A Secure Access and Accountability Framework for Provisioning Services in Named Data Networks
Publisher: IEEE
Date: 09-2021
A trust model-based analysis of social networks
Publisher: Inderscience Publishers
Date: 2013
PASOAC-Net: A Petri-Net Model to Manage Authorization in Service-Based Business Process
Publisher: Springer Berlin Heidelberg
Date: 2012
Efficient Algorithms for Social Network Coverage and Reach
Publisher: IEEE
Date: 06-2015
Architecture-Centric Support for Integrating Security Tools in a Security Orchestration Platform
Publisher: Springer International Publishing
Date: 2020
A dynamic prime number based efficient security mechanism for big sensing data streams
Publisher: Elsevier BV
Date: 02-2017
Guest Editorial: Cloud Computing and Scientific Applications (CCSA)—Big Data Analysis in the Cloud
Publisher: Oxford University Press (OUP)
Date: 02-2015
Boosting Privately: Federated Extreme Gradient Boosting for Mobile Crowdsensing
Publisher: IEEE
Date: 11-2020
Blockchain voting: Publicly verifiable online voting protocol without trusted tallying authorities
Publisher: Elsevier BV
Date: 11-2020
Finding Flaws from Password Authentication Code in Android Apps
Publisher: Springer International Publishing
Date: 2019
A Secure Storage Service in the Hybrid Cloud
Publisher: IEEE
Date: 12-2011
DOI: 10.1109/UCC.2011.55
Towards Resource and Contract Heterogeneity Aware Rescaling for Cloud-hosted Applications
Publisher: IEEE
Date: 05-2018
Geo-DRS: Geometric Dynamic Range Search on Spatial Data with Backward and Content Privacy
Publisher: Springer International Publishing
Date: 2021
Web Information Systems Engineering – WISE 2017
Publisher: Springer International Publishing
Date: 2017
Deception for Cyber Defence: Challenges and Opportunities
Publisher: IEEE
Date: 12-2021
Gamification for Online Communities: A Case Study for Delivering Government Services
Publisher: World Scientific Pub Co Pte Lt
Date: 06-2014
DOI: 10.1142/S0218843014410020
Abstract: Gamification, the idea of inserting game dynamics into portals or social networks, has recently evolved as an approach to encourage active participation in online communities. For an online community to start and proceed on to a sustainable operation, it is important that members are encouraged to contribute positively and frequently. We decided to introduce gamification in an online community that we designed and developed with the Australian Government's Department of Human Services to support welfare recipients transitioning from one payment to another. We first defined a formal model of gamification and a gamification design process. In instantiating our model to the online community, we realised that our context applied a number of constraints on the gamification elements that could be introduced. In this paper, we outline the design and implementation of a gamification model for online communities and its instantiation into our context, with its specific requirements. While we cannot comment on the success of gamification to drive user engagement in our context (for lack of the possibility of a controlled experiment), we found our implementation of badges-based gamification a helpful way to provide a useful abstraction on the life of the community, providing feedback enabling us to monitor and analyze the community. We thus show how feedback provided by such gamification data has a potential to be useful to community providers to better understand the community needs and addressing them appropriately to maintain a level of engagement in the community.
Defending Adversarial Attacks via Semantic Feature Manipulation
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 11-2022
Combining Top-Down and Bottom-Up: Scalable Sub-tree Anonymization over Big Data Using MapReduce on Cloud
Publisher: IEEE
Date: 07-2013
Improving dental care recommendation systems using trust and social networks
Publisher: IEEE
Date: 06-2014
A3CM: Automatic Capability Annotation for Android Malware
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2019
A service computing manifesto
Publisher: Association for Computing Machinery (ACM)
Date: 24-03-2017
DOI: 10.1145/2983528
Abstract: Mapping out the challenges and strategies for the widespread adoption of service computing.
OblivShare: Towards Privacy-Preserving File Sharing with Oblivious Expiration Control
Publisher: Springer International Publishing
Date: 2021
ReputationNet: Reputation-Based Service Recommendation for e-Science
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2015
Acetylated Nanocellulose for Single-Component Bioinks and Cell Proliferation on 3D-Printed Scaffolds
Publisher: American Chemical Society (ACS)
Date: 22-05-2019
Generic Multi-keyword Ranked Search on Encrypted Cloud Data
Publisher: Springer International Publishing
Date: 2019
The Next Grand Challenges: Integrating the Internet of Things and Data Science
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2018
SafeProtect: Controlled Data Sharing With User-Defined Policies in Cloud-Based Collaborative Environment
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2016
Behavior‐Based Propagation of Trust in Social Networks with Restricted and Anonymous Participation
Publisher: Wiley
Date: 21-04-2014
DOI: 10.1111/COIN.12041
Towards Risk-Aware Cost-Optimal Resource Allocation for Cloud Applications
Publisher: IEEE
Date: 07-2019
Are Android Apps Being Protected Well Against Attacks?
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2020
Authenticated Data Sharing With Privacy Protection and Batch Verification for Healthcare IoT
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
Galaxy + Hadoop: Toward a Collaborative and Scalable Image Processing Toolbox in Cloud
Publisher: Springer International Publishing
Date: 2014
Multifaceted Visualisation of Annotated Social Media Data
Publisher: IEEE
Date: 06-2014
Lightweight Mutual Authentication for IoT and Its Applications
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2017
Service Trust Management for E-Government Applications
Publisher: Springer New York
Date: 06-08-2013
A Framework for Telehealth Program Evaluation
Publisher: Mary Ann Liebert Inc
Date: 04-2014
Abstract: Evaluating telehealth programs is a challenging task, yet it is the most sensible first step when embarking on a telehealth study. How can we frame and report on telehealth studies? What are the health services elements to select based on the application needs? What are the appropriate terms to use to refer to such elements? Various frameworks have been proposed in the literature to answer these questions, and each framework is defined by a set of properties covering different aspects of telehealth systems. The most common properties include application, technology, and functionality. With the proliferation of telehealth, it is important not only to understand these properties, but also to define new properties to account for a wider range of context of use and evaluation outcomes. This article presents a comprehensive framework for delivery design, implementation, and evaluation of telehealth services. We first survey existing frameworks proposed in the literature and then present our proposed comprehensive multidimensional framework for telehealth. Six key dimensions of the proposed framework include health domains, health services, delivery technologies, communication infrastructure, environment setting, and socioeconomic analysis. We define a set of ex le properties for each dimension. We then demonstrate how we have used our framework to evaluate telehealth programs in rural and remote Australia. A few major international studies have been also mapped to demonstrate the feasibility of the framework. The key characteristics of the framework are as follows: (a) loosely coupled and hence easy to use, (b) provides a basis for describing a wide range of telehealth programs, and (c) extensible to future developments and needs.
Chameleon Hash Time-Lock Contract for Privacy Preserving Payment Channel Networks
Publisher: Springer International Publishing
Date: 2019
MEDUSA: Malware Detection Using Statistical Analysis of System's Behavior
Publisher: IEEE
Date: 10-2018
Interaction-Based Recommendations for Online Communities
Publisher: Association for Computing Machinery (ACM)
Date: 24-06-2015
DOI: 10.1145/2774974
Abstract: A key challenge in online communities is that of keeping a community active and alive. All online communities work hard to keep their members through various initiatives, such as personalisation and recommendation technologies. In online communities aimed at supporting behavioural change, that is, in domains such as diet, lifestyle, or the environment, the main reason for participation is not to connect with real-world friends for sharing and communicating, but to meet and gain support from like-minded people in an online environment. Introducing personalisation and recommendation features in these networks is challenging, as traditional approaches leverage the densely populated friendship relations found in typical social networks, and these are not present in these new community types. We address this challenge by looking beyond the articulated friendships of a community for evidence of relationships. In particular, we look at the interactions of members of an online community with other members and resources. In this article, we present a social behaviour model and apply it to two types of recommendation systems, a people recommender and a content recommender system. We evaluate our systems using the interaction logs of an online diet and lifestyle community in which 5,000 Australians participated in a 12-week programme. Our results show that our social behaviour-based recommendation algorithms outperform baselines, friendship-based, and link-prediction algorithms.
Transformer-Based Language Models for Software Vulnerability Detection
Publisher: ACM
Date: 05-12-2022
Telehealth Services for Remote Australia
Publisher: CSIRO
Date: 2012
TREVERSE: TRial-and-Error Lightweight Secure ReVERSE Authentication With Simulatable PUFs
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2022
Identity-based broadcast encryption with outsourced partial decryption for hybrid security models in edge computing
Publisher: ACM
Date: 02-07-2019
OblivSend: Secure and Ephemeral File Sharing Services with Oblivious Expiration Control
Publisher: Springer International Publishing
Date: 2022
Ethical considerations in an online community: the balancing act
Publisher: Springer Science and Business Media LLC
Date: 02-06-2013
Related Organisations
Commonwealth Scientific And Industrial Research Organisation
Location: Australia
Commonwealth Scientific And Industrial Research Organisation
Location: No location found
Related Funding Activities
Linkage Projects - Grant ID: LP160101766
Start Date: 01-2018
End Date: 05-2021
Amount: $330,000.00
Funder: Australian Research Council
View Funded ActivityDiscovery Projects - Grant ID: DP210101859
Start Date: 06-2021
End Date: 10-2024
Amount: $480,000.00
Funder: Australian Research Council
View Funded ActivityDiscovery Projects - Grant ID: DP220102784
Start Date: 2022
End Date: 12-2025
Amount: $450,000.00
Funder: Australian Research Council
View Funded Activity