An Online Detection Framework for Cyber Attacks on Automatic Generation Control

被引：103

作者：

Huang, Tong ^{[1
]}

Satchidanandan, Bharadwaj ^{[1
]}

Kumar, P. R. ^{[1
]}

Xie, Le ^{[1
]}

机构：

[1] Texas A&M Univ, Dept Elect & Comp Engn, College Stn, TX 77843 USA

来源：

IEEE TRANSACTIONS ON POWER SYSTEMS | 2018年 / 33卷 / 06期

基金：

美国国家科学基金会;

关键词：

Dynamic watermarking; cyber-physical security (CPS); automatic generation control (AGC); POWER-SYSTEMS;

D O I：

10.1109/TPWRS.2018.2829743

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

We propose an online framework to detect cyberattacks on automatic generation control. A cyberattack detection algorithm is designed based on the approach of dynamic watermarking. The detection algorithm provides a theoretical guarantee of detection of cyberattacks launched by sophisticated attackers possessing extensive knowledge of the physical and statistical models of targeted power systems. The proposed framework is practically implementable, as it needs no hardware update on generation units. The efficacy of the proposed framework is validated in both four-area system and 140-bus system.

引用

页码：6816 / 6827

页数：12

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