Applying Large Language Models to Power Systems: Potential Security Threats
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 potentia...
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| Veröffentlicht in: | IEEE transactions on smart grid 2024-05, Vol.15 (3), p.3333-3336 |
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| container_title | IEEE transactions on smart grid |
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| creator | Ruan, Jiaqi Liang, Gaoqi Zhao, Huan Liu, Guolong Sun, Xianzhuo Qiu, Jing Xu, Zhao Wen, Fushuan Dong, Zhao Yang |
| description | 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. |
| doi_str_mv | 10.1109/TSG.2024.3373256 |
| format | Article |
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| source | IEEE Electronic Library (IEL) |
| subjects | Decision making Large language models Power system stability Power systems R&D Real-time systems Reliability Research & development Security security threats Semantics Threat evaluation Training |
| title | Applying Large Language Models to Power Systems: Potential Security Threats |
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