Outputs (161)

Min-max Training: Adversarially Robust Learning Models for Network Intrusion Detection Systems (2022)
Presentation / Conference Contribution
Grierson, S., Thomson, C., Papadopoulos, P., & Buchanan, B. (2021, December). Min-max Training: Adversarially Robust Learning Models for Network Intrusion Detection Systems. Presented at 2021 14th International Conference on Security of Information and Networks (SIN), Edinburgh, United Kingdom

Intrusion detection systems are integral to the security of networked systems for detecting malicious or anomalous network traffic. As traditional approaches are becoming less effective, machine learning and deep learning-based intrusion detection sy... Read More about Min-max Training: Adversarially Robust Learning Models for Network Intrusion Detection Systems.

Privacy-preserving and Trusted Threat Intelligence Sharing using Distributed Ledgers (2022)
Presentation / Conference Contribution
Ali, H., Papadopoulos, P., Ahmad, J., Pit, N., Jaroucheh, Z., & Buchanan, W. J. (2021, December). Privacy-preserving and Trusted Threat Intelligence Sharing using Distributed Ledgers. Presented at IEEE SINCONF: 14th International Conference on Security of Information and Networks, Edinburgh

Threat information sharing is considered as one of the proactive defensive approaches for enhancing the overall security of trusted partners. Trusted partner organizations can provide access to past and current cybersecurity threats for reducing the... Read More about Privacy-preserving and Trusted Threat Intelligence Sharing using Distributed Ledgers.

PAN-DOMAIN: Privacy-preserving Sharing and Auditing of Infection Identifier Matching (2022)
Presentation / Conference Contribution
Abramson, W., Buchanan, W. J., Sayeed, S., Pitropakis, N., & Lo, O. (2021, December). PAN-DOMAIN: Privacy-preserving Sharing and Auditing of Infection Identifier Matching. Presented at 14th International Conference on Security of Information and Networks, Edinburgh [Online]

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 with a test. The key entities involved within a contact tracing infrastructur... Read More about PAN-DOMAIN: Privacy-preserving Sharing and Auditing of Infection Identifier Matching.

GLASS: Towards Secure and Decentralized eGovernance Services using IPFS (2022)
Presentation / Conference Contribution
Chrysoulas, C., Thomson, A., Pitropakis, N., Papadopoulos, P., Lo, O., Buchanan, W. J., Domalis, G., Karacapilidis, N., Tsakalidis, D., & Tsolis, D. (2021, October). GLASS: Towards Secure and Decentralized eGovernance Services using IPFS. Presented at 7th Workshop On The Security Of Industrial Control Systems & Of Cyber-Physical Systems (CyberICPS 2021). In Conjunction With ESORICS 2021, Darmstadt, Germany

The continuously advancing digitization has provided answers to the bureaucratic problems faced by eGovernance services. This innovation led them to an era of automation, broadened the attack surface and made them a popular target for cyber attacks.... Read More about GLASS: Towards Secure and Decentralized eGovernance Services using IPFS.

A Privacy-Preserving Platform for Recording COVID-19 Vaccine Passports (2022)
Presentation / Conference Contribution
Barati, M., Buchanan, W. J., Lo, O., & Rana, O. (2021, December). A Privacy-Preserving Platform for Recording COVID-19 Vaccine Passports. Presented at 14th IEEE/ACM International Conference on Utility and Cloud Computing, Leicester

Digital vaccination passports are being proposed by various governments internationally. Trust, scalability and security are all key challenges in implementing an online vaccine passport. Initial approaches attempt to solve this problem by using cent... Read More about A Privacy-Preserving Platform for Recording COVID-19 Vaccine Passports.

Leveraging Contextual Graphs for Stochastic Weight Completion in Sparse Road Networks (2022)
Presentation / Conference Contribution
Han, X., Cheng, R., Grubenmann, T., Maniu, S., Ma, C., & Li, X. (2022, April). Leveraging Contextual Graphs for Stochastic Weight Completion in Sparse Road Networks. Presented at SIAM International Conference on Data Mining (SDM22), Alexandria, Virginia, US

Road network applications, such as navigation, incident detection, and Point-of-Interest (POI) recommendation, make extensive use of network edge weights (e.g., traveling times). Some of these weights can be missing, especially in a road network wher... Read More about Leveraging Contextual Graphs for Stochastic Weight Completion in Sparse Road Networks.

F-Shape Dual-Band MIMO Antenna System for Next- Generation Smartphone Applications (2022)
Presentation / Conference Contribution
Ullah, A., Parchin, N. O., Mannan, W., Al-Yasir, I. A., See, C. H., Hu, Y. F., & Abd-Alhameed, R. A. (2021, September). F-Shape Dual-Band MIMO Antenna System for Next- Generation Smartphone Applications. Presented at 2nd International Multi-disciplinary Conference-Integrated Sciences and Technologies Conference, Sakarya, Turkey [Online]

In this paper, a new F-shape 6-element dual-band multiple-input multiple-output (MIMO) antenna operating in a 5G band for smartphone mobile is presented. The antenna contains six antenna elements covering a dual-frequency range including 3.42-3.77 GH... Read More about F-Shape Dual-Band MIMO Antenna System for Next- Generation Smartphone Applications.

Exploring the Need For an Updated Mixed File Research Data Set (2022)
Presentation / Conference Contribution
Davies, S. R., Macfarlane, R., & Buchanan, W. J. (2021, October). Exploring the Need For an Updated Mixed File Research Data Set. Presented at 2021 International Conference on Engineering and Emerging Technologies (ICEET), Istanbul, Turkey

Mixed file data sets are used in a variety of research areas, including Digital Forensics, Malware analysis and Ransomware detection. Researchers recently seem to either have to create their own custom data sets or well-known data sets are used, but... Read More about Exploring the Need For an Updated Mixed File Research Data Set.

Review of Current Ransomware Detection Techniques (2022)
Presentation / Conference Contribution
Davies, S. R., Macfarlane, R., & Buchanan, W. J. (2021, October). Review of Current Ransomware Detection Techniques. Presented at 2021 International Conference on Engineering and Emerging Technologies (ICEET), Istanbul, Turkey

A review of proposed ransomware detection tools and techniques. The tools are described, compared and contrasted and possible short comings in their approaches are discussed.

A case study: effect of wrist sensor displacement on HAR performance using LSTM and attention mechanism (2022)
Presentation / Conference Contribution
Wang, X., Wang, Y., Lu, C., Yu, H., He, H., & Li, Z. (2021, December). A case study: effect of wrist sensor displacement on HAR performance using LSTM and attention mechanism. Presented at 2021 International Conference on Advanced Mechatronic Systems (ICAMechS), Tokyo, Japan

Loose wearing or self-placement usually causes sensor displacement, which can deteriorate the performance of classifiers in real use. As a case study, this paper focuses on investigating the effect of wrist-worn sensor displacement on human activity... Read More about A case study: effect of wrist sensor displacement on HAR performance using LSTM and attention mechanism.