Real-Time Detection of Hybrid and Stealthy Cyber-Attacks in Smart Grid

被引：122

作者：

Kurt, Mehmet Necip ^{[1
]}

Yilmaz, Yasin ^{[2
]}

Wang, Xiaodong ^{[1
]}

机构：

[1] Columbia Univ, Dept Elect Engn, New York, NY 10027 USA

[2] Univ S Florida, Dept Elect Engn, Tampa, FL 33620 USA

来源：

IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY | 2019年 / 14卷 / 02期

基金：

美国国家科学基金会;

关键词：

Smart grid; Kalman filter; quickest detection; cumulative sum (CUSUM); online estimation; state recovery; false data injection attack; jamming attack; hybrid attack; stealthy attack; Shewhart test; chi-squared test; DATA INJECTION ATTACKS; QUICKEST DETECTION; KALMAN FILTER; SECURITY;

D O I：

10.1109/TIFS.2018.2854745

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

For a safe and reliable operation of the smart grid, timely detection of cyber-attacks is of critical importance. Moreover, considering smarter and more capable attackers, robust detection mechanisms are needed against a diverse range of cyber-attacks. With these purposes, we propose a robust online detection algorithm for (possibly combined) false data injection and jamming attacks, that also provides online estimates of the unknown and time-varying attack parameters and recovered state estimates. Further, considering smarter attackers that are capable of designing stealthy attacks to prevent the detection or to increase the detection delay of the proposed algorithm, we propose additional countermeasures. Numerical studies illustrate the quick and reliable response of the proposed detection mechanisms against hybrid and stealthy cyber-attacks.

引用

页码：498 / 513

页数：16

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