通过对电压/变压指令的文本分析检测智能逆变器网络攻击的大型语言模型

IF 8.6 1区工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC

IEEE Transactions on Smart Grid Pub Date : 2024-09-02 DOI:10.1109/TSG.2024.3453648

Alaa Selim;Junbo Zhao;Bo Yang

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引用次数: 0

摘要

这封信展示了通过文本控制命令检测智能逆变器网络攻击的大语言模型（LLM）的概念验证。所提出的方法可以检测对电压/VAR 曲线的操纵，与最先进的机器学习技术的比较结果突出表明了该方法在识别网络攻击方面的功效。从美国科罗拉多州的一个真实配电馈线获得的测试结果验证了该方法在攻击分类方面的高准确性，并证明了 LLM 在为网络攻击添加一个强大的安全层方面的潜力。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Large Language Model for Smart Inverter Cyber-Attack Detection via Textual Analysis of Volt/VAR Commands

This letter demonstrates a proof-of-concept validation of the Large Language Model (LLM) for smart inverter cyberattack detection through textual control commands. The proposed method can detect the manipulation of Volt/VAR curves and the comparison results with state-of-the-art machine learning techniques highlight its efficacy in identifying cyber attacks. Test results obtained from a real distribution feeder in Colorado, USA, validate the high accuracy for attack classification as well as demonstrate the potential of LLMs in adding a robust security layer for cyber-attacks.

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来源期刊

IEEE Transactions on Smart Grid ENGINEERING, ELECTRICAL & ELECTRONIC-

CiteScore

22.10

自引率

9.40%

发文量

526

审稿时长

6 months

期刊介绍： The IEEE Transactions on Smart Grid is a multidisciplinary journal that focuses on research and development in the field of smart grid technology. It covers various aspects of the smart grid, including energy networks, prosumers (consumers who also produce energy), electric transportation, distributed energy resources, and communications. The journal also addresses the integration of microgrids and active distribution networks with transmission systems. It publishes original research on smart grid theories and principles, including technologies and systems for demand response, Advance Metering Infrastructure, cyber-physical systems, multi-energy systems, transactive energy, data analytics, and electric vehicle integration. Additionally, the journal considers surveys of existing work on the smart grid that propose new perspectives on the history and future of intelligent and active grids.