Title: Matrix partition-based detection scheme for false data injection in smart grid

Authors: Zhitao Guan; Peixiu An; Tingting Yang

Addresses: School of Control and Computer Engineering, North China Electric Power University, Beijing, China ' School of Control and Computer Engineering, North China Electric Power University, Beijing, China ' School of Control and Computer Engineering, North China Electric Power University, Beijing, China

Abstract: The smart grid has caught great attention in recent years, which is poised to transform a centralised producer-controlled power network to a decentralised consumer-interactive power network that is supported by the information technology. However, it also leads to the concern that security threats in cyber network (such as wireless sensor networks) could expand to the power grid. False data injection is one of the attack threats, which is a concern for it is difficult to detect. In this paper, a distributed attack detection scheme for false data injection is proposed. Firstly, a Jacobian matrix partition algorithm is designed to divide the power system to be checked into some subsystems. Then, the attack detection method based on null space mapping is executed in each subsystem to find the injection points. The analysis shows that the proposed algorithm can detect false data injection attacks in the smart grid.

Keywords: smart grid; wireless sensor networks; WSNs; false data injection; attack detection; matrix partition; network security; null space mapping; network attacks.

DOI: 10.1504/IJWMC.2015.073106

International Journal of Wireless and Mobile Computing, 2015 Vol.9 No.3, pp.250 - 256

Received: 16 Jun 2015
Accepted: 29 Jun 2015
Published online: 19 Nov 2015 *

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