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20232026
most citedLarge Language Models for Power System Security: A Novel Multi-Modal Approach for Anomaly Detection in Energy Management Systems

9 citations · 16 across the 13 of their papers we have counts for

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Showing 2025Show all

5 papers · 1 filter

cs.CR2025

Evaluation of Real-Time Mitigation Techniques for Cyber Security in IEC 61850 / IEC 62351 Substations

Akila Herath, Chen-Ching Liu, Junho Hong +1

The digitalization of substations enlarges the cyber-attack surface, necessitating effective detection and mitigation of cyber attacks in digital substations. While machine learnin…

cs.CR2025

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…

cs.CR2025★ 9 cited

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…

cs.CR2025

An Advanced Cyber-Physical System Security Testbed for Substation Automation

Akila Herath, Chen-Ching Liu, Junho Hong +1

A Cyber-Physical System (CPS) testbed serves as a powerful platform for testing and validating cyber intrusion detection and mitigation strategies in substations. This study presen…

cs.LG2025

Detecting Zero-Day Attacks in Digital Substations via In-Context Learning

Faizan Manzoor, Vanshaj Khattar, Akila Herath +5

The occurrences of cyber attacks on the power grids have been increasing every year, with novel attack techniques emerging every year. In this paper, we address the critical challe…