DocumentCode :
3605238
Title :
Sparse Malicious False Data Injection Attacks and Defense Mechanisms in Smart Grids
Author :
Jinping Hao ; Piechocki, Robert J. ; Kaleshi, Dritan ; Woon Hau Chin ; Zhong Fan
Author_Institution :
Dept. of Electr. & Electron. Eng., Univ. of Bristol, Bristol, UK
Volume :
11
Issue :
5
fYear :
2015
Firstpage :
1
Lastpage :
12
Abstract :
This paper discusses malicious false data injection attacks on the wide area measurement and monitoring system in smart grids. First, methods of constructing sparse stealth attacks are developed for two typical scenarios: 1) random attacks in which arbitrary measurements can be compromised; and 2) targeted attacks in which specified state variables are modified. It is already demonstrated that stealth attacks can always exist if the number of compromised measurements exceeds a certain value. In this paper, it is found that random undetectable attacks can be accomplished by modifying only a much smaller number of measurements than this value. It is well known that protecting the system from malicious attacks can be achieved by making a certain subset of measurements immune to attacks. An efficient greedy search algorithm is then proposed to quickly find this subset of measurements to be protected to defend against stealth attacks. It is shown that this greedy algorithm has almost the same performance as the brute-force method, but without the combinatorial complexity. Third, a robust attack detection method is discussed. The detection method is designed based on the robust principal component analysis problem by introducing element-wise constraints. This method is shown to be able to identify the real measurements, as well as attacks even when only partial observations are collected. The simulations are conducted based on IEEE test systems.
Keywords :
greedy algorithms; principal component analysis; search problems; smart power grids; arbitrary measurements; brute-force method; defense mechanisms; element-wise constraints; greedy search algorithm; monitoring system; random attacks; random undetectable attacks; robust attack detection method; robust principal component analysis problem; smart grids; sparse malicious false data injection attacks; sparse stealth attacks; targeted attacks; wide area measurement; Noise; Pollution measurement; Power grids; Power measurement; State estimation; Transmission line measurements; Bad data detection (BDD); Malicious data attack; bad data detection; malicious data attack; robust principle component analysis; robust principle component analysis (PCA); smart grid security;
fLanguage :
English
Journal_Title :
Industrial Informatics, IEEE Transactions on
Publisher :
ieee
ISSN :
1551-3203
Type :
jour
DOI :
10.1109/TII.2015.2475695
Filename :
7234893
Link To Document :
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