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Department of Electrical Engineering and Computer Science
Dynamic Systems and Control Laboratory
2. Conference Papers
Sensor security index for control systems
John, Hee Kyoon
;
Eun, Yong Soon
Department of Electrical Engineering and Computer Science
Dynamic Systems and Control Laboratory
2. Conference Papers
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Title
Sensor security index for control systems
Issued Date
2017-10-18
Citation
17th International Conference on Control, Automation and Systems, ICCAS 2017, pp.145 - 148
Type
Conference Paper
ISBN
9788993215137
ISSN
1598-7833
Abstract
Security of control systems have become a new and important field of research since malicious attacks on control systems indeed occurred including Stuxnet in 2011 and north eastern electrical grid black out in 2003. Attacks on sensors and/or actuators of control systems cause malfunction, instability, and even system destruction. The impact of attack may differ by which instrumentation (sensors and/or actuators) is being attacked. In particular, for control systems with multiple sensors, attack on each sensor may have different impact, i.e., attack on some sensors leads to a greater damage to the system than those for other sensors. To investigate this, we consider sensor bias injection attacks in linear control systems equipped with anomaly detector, and quantify the maximum impact of attack on sensors while the attack remains undetected. Then, we introduce a notion of sensor security index for linear dynamic systems to quantify the vulnerability under sensor attacks. Method of reducing system vulnerability is also discussed using the notion of sensor security index. © 2017 Institute of Control, Robotics and Systems - ICROS.
URI
http://hdl.handle.net/20.500.11750/47124
DOI
10.23919/ICCAS.2017.8204432
Publisher
IEEE Computer Society
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