Reliable and Fair Trustworthiness Evaluation Protocol for Platoon Service Recommendation System
Journal Article
Cheng, H., Tan, Z., Zhang, X., & Liu, Y. (in press)
Reliable and Fair Trustworthiness Evaluation Protocol for Platoon Service Recommendation System. Chinese Journal of Electronics,
Aiming at the problems of the communication inefficiency and high energy consumption in vehicular networks, the platoon service recommendation systems (PSRS) are presented. Ma...
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...
Machine Un-learning: An Overview of Techniques, Applications, and Future Directions
Journal Article
Sai, S., Mittal, U., Chamola, V., Huang, K., Spinelli, I., Scardapane, S., …Hussain, A. (2024)
Machine Un-learning: An Overview of Techniques, Applications, and Future Directions. Cognitive Computation, 16, 482-506. https://doi.org/10.1007/s12559-023-10219-3
ML applications proliferate across various sectors. Large internet firms employ ML to train intelligent models using vast datasets, including sensitive user information. Howev...
Preserving Differential Privacy in Deep Learning Based on Feature Relevance Region Segmentation
Journal Article
Wang, F., Xie, M., Tan, Z., Li, Q., & Wang, C. (2024)
Preserving Differential Privacy in Deep Learning Based on Feature Relevance Region Segmentation. IEEE Transactions on Emerging Topics in Computing, 12(1), 307 - 315. https://doi.org/10.1109/TETC.2023.3244174
In the era of big data, deep learning techniques provide intelligent solutions for various problems in real-life scenarios. However, deep neural networks depend on large-scale...
Towards The Creation Of The Future Fish Farm
Journal Article
Papadopoulos, P., Buchanan, W. J., Sayeed, S., & Pitropakis, N. (2023)
Towards The Creation Of The Future Fish Farm. Journal of Surveillance, Security and Safety, 4, 1-3. https://doi.org/10.20517/jsss.2022.16
Aim: A fish farm is an area where fish raise and bred for food. Fish farm environments support the care and management of seafood within a controlled environment. Over the pas...
Using Social Media & Sentiment Analysis to Make Investment Decisions
Journal Article
Hasselgren, B., Chrysoulas, C., Pitropakis, N., & Buchanan, W. J. (2023)
Using Social Media & Sentiment Analysis to Make Investment Decisions. Future Internet, 15(1), Article 5. https://doi.org/10.3390/fi15010005
Making investment decisions by utilizing sentiment data from social media (SM) is starting to become a more tangible concept. There has been a broad investigation into this fi...
A framework for live host-based Bitcoin wallet forensics and triage
Journal Article
Holmes, A., & Buchanan, W. J. (2023)
A framework for live host-based Bitcoin wallet forensics and triage. Forensic Science International: Digital Investigation, 44, Article 301486. https://doi.org/10.1016/j.fsidi.2022.301486
Organised crime and cybercriminals use Bitcoin, a popular cryptocurrency, to launder money and move it across borders with impunity. The UK and other countries have legislatio...
Hamming Distributions of Popular Perceptual Hashing Techniques
Journal Article
McKeown, S., & Buchanan, W. J. (in press)
Hamming Distributions of Popular Perceptual Hashing Techniques. Forensic Science International: Digital Investigation,
Content-based file matching has been widely deployed for decades, largely for the detection of sources of copyright infringement, extremist materials, and abusive sexual media...
Comparison of Entropy Calculation Methods for Ransomware Encrypted File Identification
Journal Article
Davies, S., Macfarlane, R., & Buchanan, W. (2022)
Comparison of Entropy Calculation Methods for Ransomware Encrypted File Identification. Entropy, 24(10), Article 1503. https://doi.org/10.3390/e24101503
Ransomware is a malicious class of software that utilises encryption to implement an attack on system availability. The target’s data remains encrypted and is held captive by ...
Trusted Threat Intelligence Sharing in Practice and Performance Benchmarking through the Hyperledger Fabric Platform
Journal Article
Ali, H., Ahmad, J., Jaroucheh, Z., Papadopoulos, P., Pitropakis, N., Lo, O., …Buchanan, W. J. (2022)
Trusted Threat Intelligence Sharing in Practice and Performance Benchmarking through the Hyperledger Fabric Platform. Entropy, 24(10), Article 1379. https://doi.org/10.3390/e24101379
Historically, threat information sharing has relied on manual modelling and centralised network systems, which can be inefficient, insecure, and prone to errors. Alternatively...