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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 2024Show all

5 papers · 1 filter

cs.CR2024★ 1 cited

SDN-Based Smart Cyber Switching (SCS) for Cyber Restoration of a Digital Substation

Mansi Girdhar, Kuchan Park, Wencong Su +3

In recent years, critical infrastructure and power grids have increasingly been targets of cyber-attacks, causing widespread and extended blackouts. Digital substations are particu…

eess.SY2024

Machine Learning Based Cyber System Restoration for IEC 61850 Based Digital Substations

Kuchan Park, Mansi Girdhar, Junho Hong +3

Substation Automation Systems (SAS) that adhere to the International Electrotechnical Commission (IEC) 61850 standard have already been widely implemented across various on-site lo…

eess.SP2024

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…

eess.SY2024★ 3 cited

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…

cs.CR2024★ 2 cited

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…