Applying Large Language Models to Power Systems: Potential Security
Threats
- URL: http://arxiv.org/abs/2311.13361v2
- Date: Wed, 24 Jan 2024 09:52:39 GMT
- Title: Applying Large Language Models to Power Systems: Potential Security
Threats
- Authors: Jiaqi Ruan, Gaoqi Liang, Huan Zhao, Guolong Liu, Xianzhuo Sun, Jing
Qiu, Zhao Xu, Fushuan Wen, Zhao Yang Dong
- Abstract summary: This article analyzes potential threats incurred by applying large language models (LLMs) to power systems.
It emphasizes the need for urgent research and development of countermeasures.
- Score: 14.819055765376174
- License: http://creativecommons.org/publicdomain/zero/1.0/
- 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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