학술논문

Applying Large Language Models to Power Systems: Potential Security Threats
Document Type
Periodical
Source
IEEE Transactions on Smart Grid IEEE Trans. Smart Grid Smart Grid, IEEE Transactions on. 15(3):3333-3336 May, 2024
Subject
Communication, Networking and Broadcast Technologies
Computing and Processing
Power, Energy and Industry Applications
Power system stability
Security
Decision making
Training
Semantics
Reliability
Real-time systems
Power systems
large language models
security threats
Language
ISSN
1949-3053
1949-3061
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.