Can Federated Models Be Rectified Through Learning Negative Gradients?
Conference Proceeding
Tahir, A., Tan, Z., & Babaagba, K. O. (2024)
Can Federated Models Be Rectified Through Learning Negative Gradients?. In Big Data Technologies and Applications (18-32). https://doi.org/10.1007/978-3-031-52265-9_2
Federated Learning (FL) is a method to train machine learning (ML) models in a decentralised manner, while preserving the privacy of data from multiple clients. However, FL is...
PAN-DOMAIN: Privacy-preserving Sharing and Auditing of Infection Identifier Matching
Conference Proceeding
Abramson, W., Buchanan, W. J., Sayeed, S., Pitropakis, N., & Lo, O. (2022)
PAN-DOMAIN: Privacy-preserving Sharing and Auditing of Infection Identifier Matching. In 14th International Conference on Security of Information and Networks. https://doi.org/10.1109/SIN54109.2021.9699138
The spread of COVID-19 has highlighted the need for a robust contact tracing infrastructure that enables infected individuals to have their contacts traced, and followed up wi...
Privacy-preserving and Trusted Threat Intelligence Sharing using Distributed Ledgers
Conference Proceeding
Ali, H., Papadopoulos, P., Ahmad, J., Pit, N., Jaroucheh, Z., & Buchanan, W. J. (2022)
Privacy-preserving and Trusted Threat Intelligence Sharing using Distributed Ledgers. In IEEE SINCONF: 14th International Conference on Security of Information and Networks. https://doi.org/10.1109/SIN54109.2021.9699366
Threat information sharing is considered as one of the proactive defensive approaches for enhancing the overall security of trusted partners. Trusted partner organizations can...
GLASS: Towards Secure and Decentralized eGovernance Services using IPFS
Conference Proceeding
Chrysoulas, C., Thomson, A., Pitropakis, N., Papadopoulos, P., Lo, O., Buchanan, W. J., …Tsolis, D. (2022)
GLASS: Towards Secure and Decentralized eGovernance Services using IPFS. In Computer Security. ESORICS 2021 International Workshops. https://doi.org/10.1007/978-3-030-95484-0_3
The continuously advancing digitization has provided answers to the bureaucratic problems faced by eGovernance services. This innovation led them to an era of automation, broa...
A Privacy-Preserving Platform for Recording COVID-19 Vaccine Passports
Conference Proceeding
Barati, M., Buchanan, W. J., Lo, O., & Rana, O. (2022)
A Privacy-Preserving Platform for Recording COVID-19 Vaccine Passports. In UCC '21: Proceedings of the 14th IEEE/ACM International Conference on Utility and Cloud Computing Companion. https://doi.org/10.1145/3492323.3495626
Digital vaccination passports are being proposed by various governments internationally. Trust, scalability and security are all key challenges in implementing an online vacci...
Blockchain-Based Authentication and Registration Mechanism for SIP-Based VoIP Systems
Conference Proceeding
Abubakar, M., Jaroucheh, Z., Al Dubai, A., & Buchanan, W. (2021)
Blockchain-Based Authentication and Registration Mechanism for SIP-Based VoIP Systems. In 2021 5th Cyber Security in Networking Conference (CSNet). https://doi.org/10.1109/csnet52717.2021.9614646
The Session Initiation Protocol (SIP) is the principal signalling protocol in Voice over IP (VoIP) systems, responsible for initialising, terminating, and maintaining sessions...
A Decentralised Authentication and Access Control Mechanism for Medical Wearable Sensors Data
Conference Proceeding
Abubakar, M., Jaroucheh, Z., Al Dubai, A., & Buchanan, W. J. (2021)
A Decentralised Authentication and Access Control Mechanism for Medical Wearable Sensors Data. In 2021 IEEE International Conference on Omni-Layer Intelligent Systems (COINS). https://doi.org/10.1109/coins51742.2021.9524172
Recent years have seen an increase in medical big data, which can be attributed to a paradigm shift experienced in medical data sharing induced by the growth of medical techno...
Privacy-preserving Surveillance Methods using Homomorphic Encryption
Conference Proceeding
Bowditch, W., Abramson, W., Buchanan, W. J., Pitropakis, N., & Hall, A. J. (2020)
Privacy-preserving Surveillance Methods using Homomorphic Encryption. In ICISSP: Proceedings of the 6th International Conference on Information Systems Security and Privacy. , (240-248). https://doi.org/10.5220/0008864902400248
Data analysis and machine learning methods often involve the processing of cleartext data, and where this could breach the rights to privacy. Increasingly, we must use encrypt...
Phishing URL Detection Through Top-Level Domain Analysis: A Descriptive Approach
Conference Proceeding
Christou, O., Pitropakis, N., Papadopoulos, P., Mckeown, S., & Buchanan, W. J. (2020)
Phishing URL Detection Through Top-Level Domain Analysis: A Descriptive Approach. In Proceedings of the 6th International Conference on Information Systems Security and Privacy. , (289-298). https://doi.org/10.5220/0008902202890298
Phishing is considered to be one of the most prevalent cyber-attacks because of its immense flexibility and alarmingly high success rate. Even with adequate training and high ...
Understanding Personal Online Risk To Individuals Via Ontology Development
Conference Proceeding
Haynes, D. (2020)
Understanding Personal Online Risk To Individuals Via Ontology Development. In Knowledge Organization at the Interface: Proceedings of the Sixteenth International ISKO Conference, 2020, Aalborg, Denmark (171-180). https://doi.org/10.5771/9783956507762-171
The concept of risk is widely misunderstood because of the different contexts in which it is used. This paper describes the development of an ontology of risk as a way of bett...