5 papers · 1 filter
Explainable Artificial Intelligence for Industrial Cybersecurity: A Review of Methods, Operational Integration, and Research Challenges
Amr S. Mohamed, Charlotte Fritz, Ahmad Mohammad Saber +5
The increasing digitalization of industrial infrastructure and the convergence of information technology (IT) and operational technology (OT) have expanded the cyberattack surface…
Large Language Models as Explainable Cyberattack Detectors for Energy Industrial Control Systems
Weiyi Kong, Ahmad Mohammad Saber, Amr Youssef +1
In modern energy systems, industrial control systems (ICS) and power-system SCADA require intrusion detection that is not only accurate but also auditable by operators. The ICS int…
An AI-Based Supervisory Measurement Integrity Validation Layer for Cyber-Resilient AC/DC Protection in Inverter-Based Microgrids
Ahmad Mohammad Saber, Ahmed Saber Refae, Davor Svetinovic +4
Line current differential relays (LCDRs) are measurement-driven relays that rely on time-synchronized multi-phase current waveforms to infer internal faults in AC and DC power netw…
Evaluating Jailbreaking Vulnerabilities in LLMs Deployed as Assistants for Smart Grid Operations: A Benchmark Against NERC Standards
Taha Hammadia, Lucas Rea, Ahmad Mohammad Saber +2
The deployment of Large Language Models (LLMs) as assistants in electric grid operations promises to streamline compliance and decision-making but exposes new vulnerabilities to pr…
Dual-Stage LLM Framework for Scenario-Centric Semantic Interpretation in Driving Assistance
Jean Douglas Carvalho, Hugo Taciro Kenji, Ahmad Mohammad Saber +3
Advanced Driver Assistance Systems (ADAS) increasingly rely on learning-based perception, yet safety-relevant failures often arise without component malfunction, driven instead by…