DocumentCode :
1384865
Title :
SCPSE: Security-Oriented Cyber-Physical State Estimation for Power Grid Critical Infrastructures
Author :
Zonouz, Saman ; Rogers, Katherine M. ; Berthier, Robin ; Bobba, Rakesh B. ; Sanders, William H. ; Overbye, Thomas J.
Author_Institution :
Univ. of Miami, Miami, FL, USA
Volume :
3
Issue :
4
fYear :
2012
Firstpage :
1790
Lastpage :
1799
Abstract :
Preserving the availability and integrity of the power grid critical infrastructures in the face of fast-spreading intrusions requires advances in detection techniques specialized for such large-scale cyber-physical systems. In this paper, we present a security-oriented cyber-physical state estimation (SCPSE) system, which, at each time instant, identifies the compromised set of hosts in the cyber network and the maliciously modified set of measurements obtained from power system sensors. SCPSE fuses uncertain information from different types of distributed sensors, such as power system meters and cyber-side intrusion detectors, to detect the malicious activities within the cyber-physical system. We implemented a working prototype of SCPSE and evaluated it using the IEEE 24-bus benchmark system. The experimental results show that SCPSE significantly improves on the scalability of traditional intrusion detection techniques by using information from both cyber and power sensors. Furthermore, SCPSE was able to detect all the attacks against the control network in our experiments.
Keywords :
computer network security; computerised instrumentation; critical infrastructures; distributed sensors; power engineering computing; power grids; power system measurement; power system security; IEEE 24-bus benchmark system; SCPSE; control network attack; distributed sensor; fast spreading intrusions; power grid critical infrastructures; power system sensor; security oriented cyber-physical state estimation; uncertain information; Hidden Markov models; Network security; Power grids; Power measurement; Sensors; State estimation; Cyber-physical systems; intrusion detection; maliciously corrupted data detection; security-state estimation;
fLanguage :
English
Journal_Title :
Smart Grid, IEEE Transactions on
Publisher :
ieee
ISSN :
1949-3053
Type :
jour
DOI :
10.1109/TSG.2012.2217762
Filename :
6376274
Link To Document :
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