Applying Large Language Models to Power Systems: Potential Security Threats

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
Hauptverfasser: Ruan, Jiaqi, Liang, Gaoqi, Zhao, Huan, Liu, Guolong, Sun, Xianzhuo, Qiu, Jing, Xu, Zhao, Wen, Fushuan, Dong, Zhao Yang
Format: Artikel
Sprache:eng
Schlagworte:
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
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Beschreibung
Zusammenfassung: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.
ISSN:1949-3053
1949-3061
DOI:10.1109/TSG.2024.3373256