Outputs (2)

Leveraging LLMs for Non-Security Experts in Threat Hunting: Detecting Living off the Land Techniques (2025)
Journal Article
Konstantinou, A., Kasimatis, D., Buchanan, W. J., Ullah Jan, S., Ahmad, J., Politis, I., & Pitropakis, N. (2025). Leveraging LLMs for Non-Security Experts in Threat Hunting: Detecting Living off the Land Techniques. Machine Learning and Knowledge Extraction, 7(2), Article 31. https://doi.org/10.3390/make7020031

This paper explores the potential use of Large Language Models (LLMs), such as ChatGPT, Google Gemini, and Microsoft Copilot, in threat hunting, specifically focusing on Living off the Land (LotL) techniques. LotL methods allow threat actors to blend... Read More about Leveraging LLMs for Non-Security Experts in Threat Hunting: Detecting Living off the Land Techniques.

DID:RING: Ring Signatures Using Decentralised Identifiers For Privacy-Aware Identity Proof (2024)
Presentation / Conference Contribution
Kasimatis, D., Grierson, S., Buchanan, W. J., Eckl, C., Papadopoulos, P., Pitropakis, N., Chrysoulas, C., Thomson, C., & Ghaleb, B. (2024, September). DID:RING: Ring Signatures Using Decentralised Identifiers For Privacy-Aware Identity Proof. Presented at 2024 IEEE International Conference on Cyber Security and Resilience (CSR), London, UK

Decentralised identifiers have become a standardised element of digital identity architecture, with supra-national organisations such as the European Union adopting them as a key component for a unified European digital identity ledger. This paper de... Read More about DID:RING: Ring Signatures Using Decentralised Identifiers For Privacy-Aware Identity Proof.