DocumentCode
1982828
Title
A behavior-based intrusion detection technique for smart grid infrastructure
Author
Kwon, YooJin ; Kim, Huy Kang ; Lim, Yong Hun ; Lim, Jong In
Author_Institution
Graduate School of Information Security, Korea University, Seoul, Korea
fYear
2015
fDate
June 29 2015-July 2 2015
Firstpage
1
Lastpage
6
Abstract
A smart grid is a fully automated electricity network, which monitors and controls all its physical environments of electricity infrastructure being able to supply energy in an efficient and reliable way. As the importance of cyber-physical system (CPS) security is growing, various intrusion detection algorithms to protect SCADA system and generation sector have been suggested, whereas there were less consideration on distribution sector. Thus, this paper first highlights the significance of CPS security, especially the availability as the most important factor in smart grid environment. Then this paper classifies various modern intrusion detection system (IDS) techniques for securing smart grid network. In our approach, we propose a novel behavior-based IDS for IEC 61850 protocol using both statistical analysis of traditional network features and specification-based metrics. Finally, we present the attack scenarios and detection methods applicable for IEC 61850-based digital substation in Korean environment.
Keywords
Clustering algorithms; Indexes; Inductors; Measurement; Security; Cyber-physical system; IEC 61850; anomaly detection; intrusion detection; smart grid;
fLanguage
English
Publisher
ieee
Conference_Titel
PowerTech, 2015 IEEE Eindhoven
Conference_Location
Eindhoven, Netherlands
Type
conf
DOI
10.1109/PTC.2015.7232339
Filename
7232339
Link To Document