3 papers
cs.CR2026
A Study of Kernel Telemetry Options for Security-Oriented Provenance
Paul R. B. Houssel, Olivier Levillain, Sylvie Laniepce +2
Provenance aims to capture the origins, transformations, and interactions of system objects for security and forensic applications. Existing provenance capture approaches still fac…
cs.CR2025
eX-NIDS: A Framework for Explainable Network Intrusion Detection Leveraging Large Language Models
Paul R. B. Houssel, Siamak Layeghy, Priyanka Singh +1
This paper introduces eX-NIDS, a framework designed to enhance interpretability in flow-based Network Intrusion Detection Systems (NIDS) by leveraging Large Language Models (LLMs).…
cs.CR2024
Towards Explainable Network Intrusion Detection using Large Language Models
Paul R. B. Houssel, Priyanka Singh, Siamak Layeghy +1
Large Language Models (LLMs) have revolutionised natural language processing tasks, particularly as chat agents. However, their applicability to threat detection problems remains u…