Author

Michel Hurfin

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Conference Open access 2026

Robustness Evaluation of Graph Neural Network-Based Network Intrusion Detection Systems against Adversarial Flow Injection

A query-based black-box flow injection attack against GNN-based NIDS, where adversaries inject crafted traffic flows into existing communications to evade detection, is proposed.

Matthieu Mouzaoui, Yu-Fei Han, Gregory Blanc et al. · International Conference on... · 0 citations

Jul 2026

GRAAL: GRAph-based Analysis of Logs for Advanced AI-based Intrusion Detection Systems

Intrusion Detection Systems (IDS) are essential tools for detecting and analyzing malicious system activity. Anomaly-based IDS have gained popularity due to their ability to detect zero-day attacks, unlike signature-based IDS. Although this approach is promising, recent AI-based IDS still suffer from high false positiv...

Fanny Dijoud, Pierre-François Gimenez, Michel Hurfin et al. · European Symposium on Securi... · 0 citations

Conference Open access 2026

Graph2TTP: Knowledge Graph-Guided Paragraph-Level TTPs Identification from Cyber Threat Intelligence Reports

Graph2TTP is proposed, a novel neural-symbolic framework for automated, paragraph-level Tactic, Technique and Procedure (TTP) identification that outperforms state-of-the-art neural baselines and establishes a robust new standard for accurate and interpretable threat intelligence analysis.

Patrick Zounon, Yu-Fei Han, Michel Hurfin et al. · International Conference on... · 0 citations