10 papers
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…
Glass-Box Deep Learning for FDIA Detection in Nonlinear Automatic Generation Control: A Kolmogorov-Arnold Network Approach
Jehad Jilan, Niranjana Naveen Nambiar, Ahmad Mohammad Saber +3
Automatic Generation Control (AGC) plays a critical role in maintaining power balance across multi-area power systems. However, its complete reliance on remotely communicated measu…
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…
A Kolmogorov-Arnold Network for Explainable Detection of Cyberattacks on EV Chargers
Ahmad Mohammad Saber, Max Mauro Dias Santos, Mohammad Al Janaideh +2
The increasing adoption of Electric Vehicles (EVs) and the expansion of charging infrastructure and their reliance on communication expose Electric Vehicle Supply Equipment (EVSE)…
Unmasking Covert Intrusions: Detection of Fault-Masking Cyberattacks on Differential Protection Systems
Ahmad Mohammad Saber, Amr Youssef, Davor Svetinovic +2
Line Current Differential Relays (LCDRs) are high-speed relays progressively used to protect critical transmission lines. However, LCDRs are vulnerable to cyberattacks. Fault-Maski…
A Novel Approach to Classify Power Quality Signals Using Vision Transformers
Ahmad Mohammad Saber, Alaa Selim, Mohamed M. Hammad +3
With the rapid integration of electronically interfaced renewable energy resources and loads into smart grids, there is increasing interest in power quality disturbances (PQD) clas…
Enhancing Power Quality Event Classification with AI Transformer Models
Ahmad Mohammad Saber, Amr Youssef, Davor Svetinovic +3
Recently, there has been a growing interest in utilizing machine learning for accurate classification of power quality events (PQEs). However, most of these studies are performed a…
Learning-Based Detection of Malicious Volt-VAr Control Parameters in Smart Inverters
Ahmad Mohammad Saber, Amr Youssef, Davor Svetinovic +2
Distributed Volt-Var Control (VVC) is a widely used control mode of smart inverters. However, necessary VVC curve parameters are remotely communicated to the smart inverter, which…