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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 ...

A comprehensive survey of authentication methods in Internet-of-Things and its conjunctions

Journal Article
Kumar, A., Saha, R., Conti, M., Kumar, G., Buchanan, W. J., & Kim, T. H. (2022)
A comprehensive survey of authentication methods in Internet-of-Things and its conjunctions. Journal of Network and Computer Applications, 204, Article 103414. https://doi.org/10.1016/j.jnca.2022.103414
Internet of Thing (IoT) is one of the most influential technologies in the present time. People, processes, and things are connected with the Internet through IoT. With the in...

A New Multistage Encryption Scheme Using Linear Feedback Register and Chaos-Based Quantum Map

Journal Article
Alharbi, A. R., Ahmad, J., Arshad, Shaukat, S., Masood, F., Ghadi, Y. Y., …Buchanan, W. J. (2022)
A New Multistage Encryption Scheme Using Linear Feedback Register and Chaos-Based Quantum Map. Complexity, 2022, Article 7047282. https://doi.org/10.1155/2022/7047282
With the increasing volume of data transmission through insecure communication channels, big data security has become one of the important concerns in the cybersecurity domain...

GLASS: A Citizen-Centric Distributed Data-Sharing Model within an e-Governance Architecture

Journal Article
Lo, O., Buchanan, W., Sayeed, S., Papadopoulos, P., Pitropakis, N., & Chrysoulas, C. (2022)
GLASS: A Citizen-Centric Distributed Data-Sharing Model within an e-Governance Architecture. Sensors, 22(6), Article 2291. https://doi.org/10.3390/s22062291
E-governance is a process that aims to enhance a government’s ability to simplify all the processes that may involve government, citizens, businesses, and so on. The rapid evo...

Min-max Training: Adversarially Robust Learning Models for Network Intrusion Detection Systems

Conference Proceeding
Grierson, S., Thomson, C., Papadopoulos, P., & Buchanan, B. (2022)
Min-max Training: Adversarially Robust Learning Models for Network Intrusion Detection Systems. In 2021 14th International Conference on Security of Information and Networks (SIN). https://doi.org/10.1109/sin54109.2021.9699157
Intrusion detection systems are integral to the security of networked systems for detecting malicious or anomalous network traffic. As traditional approaches are becoming less...

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...