Applying Large Language Models to Power Systems: Potential Security Threats

Jiaqi Ruan, Gaoqi Liang, Huan Zhao, Guolong Liu, Xianzhuo Sun +4 more
11/22/2023
cs.AIcs.HCeess.SY

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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.

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Cite this paper

@article{ruan2023applying,
  title  = {Applying Large Language Models to Power Systems: Potential Security Threats},
  author = {Jiaqi Ruan and Gaoqi Liang and Huan Zhao and Guolong Liu and Xianzhuo Sun and Jing Qiu and Zhao Xu and Fushuan Wen and Zhao Yang Dong},
  year   = {2023},
  eprint = {2311.13361},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2311.13361v2}
}

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