5 papers
Large Language Models for Power System Security: A Novel Multi-Modal Approach for Anomaly Detection in Energy Management Systems
Aydin Zaboli, Junho Hong, Alexandru Stefanov +2
This paper elaborates on an extensive security framework specifically designed for energy management systems (EMSs), which effectively tackles the dynamic environment of cybersecur…
A Physics-Informed Context-Aware Approach for Anomaly Detection in Tele-driving Operations Under False Data Injection Attacks
Subhadip Ghosh, Aydin Zaboli, Junho Hong +1
Tele-operated driving (ToD) systems are special types of cyber-physical systems (CPSs) where the operator remotely controls the steering, acceleration, and braking actions of the v…
Generative AI for Critical Infrastructure in Smart Grids: A Unified Framework for Synthetic Data Generation and Anomaly Detection
Aydin Zaboli, Junho Hong
In digital substations, security events pose significant challenges to the sustained operation of power systems. To mitigate these challenges, the implementation of robust defense…
Leveraging Conversational Generative AI for Anomaly Detection in Digital Substations
Aydin Zaboli, Seong Lok Choi, Junho Hong
This study addresses critical challenges of cybersecurity in digital substations by proposing an innovative task-oriented dialogue (ToD) system for anomaly detection (AD) in multic…
A Novel Generative AI-Based Framework for Anomaly Detection in Multicast Messages in Smart Grid Communications
Aydin Zaboli, Seong Lok Choi, Tai-Jin Song +1
Cybersecurity breaches in digital substations can pose significant challenges to the stability and reliability of power system operations. To address these challenges, defense and…