4 papers · 1 filter
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…
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…
Large Language Models for Detecting Cyberattacks on Smart Grid Protective Relays
Ahmad Mohammad Saber, Saeed Jafari, Zhengmao Ouyang +3
This paper presents a large language model (LLM)-based framework that adapts and fine-tunes compact LLMs for detecting cyberattacks on transformer current differential relays (TCDR…
Large Language Model-Based Framework for Explainable Cyberattack Detection in Automatic Generation Control Systems
Muhammad Sharshar, Ahmad Mohammad Saber, Davor Svetinovic +3
The increasing digitization of smart grids has improved operational efficiency but also introduced new cybersecurity vulnerabilities, such as False Data Injection Attacks (FDIAs) t…