JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE) ›› 2014, Vol. 49 ›› Issue (09): 35-40.doi: 10.6040/j.issn.1671-9352.2.2014.388

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An alert fusion-based smart grid attack detection method

LIU Ting, ZHAO Yu-chen, LIU Yang, SUN Ya-nan   

  1. School of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an 710049, Shaanxi, China
  • Received:2014-06-24 Revised:2014-08-27 Online:2014-09-20 Published:2014-09-30

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Abstract: The integration of communication technologies introduces exploitable vulnerabilities for attackers to intrude and attack power system, which is considered as one of most serious threats in Smart Grid security. A cyber-physical alert fusion method is proposed to detect Smart Grids attacks. Intrusion Detection System (IDS) was applied to detect the abnormal traffic in information network, and largest Normalized Residual Test (RN Test) was employed to identify abnormal measurements in power system. The abnormal alerts from network and power system were used to detect the attacks in Smart Grids. The simulation shows that our method could eliminate the false alerts of IDS and RN Test and dramatically improve the detection accuracy.

Key words: alert fusion, smart grid, attack detection

CLC Number: 

  • TP309
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