DocumentCode :
3693177
Title :
Replay attack detection in control systems with quantized signals
Author :
Kenji Kashima;Daisuke Inoue
Author_Institution :
Grad. Sch. of Inf., Kyoto Univ., Kyoto, Japan
fYear :
2015
fDate :
7/1/2015 12:00:00 AM
Firstpage :
782
Lastpage :
787
Abstract :
In lots of control systems for recent applications, their components are interconnected to various information networks. In such systems, transmission data rate limitation is ubiquitous among these components. In addition, detection of malicious attack is an urgent issue. In this paper, to manage such situations, replay attack detection in control systems with quantized signals is studied. We propose a novel scheme where dithering noise plays a role of randomizing quantization error and also of a time stamp for detecting the malicious data manipulation. In order to evaluate the resulting regulation and detection ability, we extend our previous results on the stationary variance approximation in control systems with random dither quantization. The effectiveness is exhibited through numerical examples.
Keywords :
"Quantization (signal)","Control systems","Probability distribution","Upper bound","Approximation methods","Observers","Security"
Publisher :
ieee
Conference_Titel :
Control Conference (ECC), 2015 European
Type :
conf
DOI :
10.1109/ECC.2015.7330637
Filename :
7330637
Link To Document :
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