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Applying Large Language Models to Power Systems: Potential Security Threats

Authors :
Ruan, Jiaqi
Liang, Gaoqi
Zhao, Huan
Liu, Guolong
Sun, Xianzhuo
Qiu, Jing
Xu, Zhao
Wen, Fushuan
Dong, Zhao Yang
Publication Year :
2023

Abstract

Applying large language models (LLMs) to modern power systems presents a promising avenue for enhancing decision-making and operational efficiency. However, this action may also incur potential security threats, which have not been fully recognized so far. To this end, this article analyzes potential threats incurred by applying LLMs to power systems, emphasizing the need for urgent research and development of countermeasures.

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2311.13361
Document Type :
Working Paper