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 :
بازگشت