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Author

Jaafer Rahmani

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2 papers indexed here

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Conference Sep 2026

Adversarial Robustness Evaluation of a Multi-Layer OT Intrusion Detection System Via Automated C2 Red Teaming

Deploying machine-learning-based intrusion detection in operational technology (OT) networks requires evidence that the system detects real adversary behavior, not just anomalous packets. Most published evaluations rely on static datasets with atomic attack samples and therefore leave multi-stage robustness, the proper...

Jaafer Rahmani, Salva Daneshgadeh Çakmakcç, Kai-Oliver Detken et al. · 0 citations
Conference Open access Sep 2026

KEYSER: Stateful Adversarial Campaign Evaluation of ML-Based Intrusion Detection in Industrial Automation

Industrial automation environments face persistent adversarial threats that signature-based detection cannot address, driving deployment of Machine Learning-based Intrusion Detection Systems (ML-IDS) at the Information Technology / Operational Technology boundary. Adversarial Machine Learning research treats evasion as...

Jaafer Rahmani, Axel Sikora · 0 citations

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