Reference : A Stochastic Cyber-Attack Detection Scheme for Stochastic Control Systems Based on Fr...
Scientific congresses, symposiums and conference proceedings : Paper published in a book
Engineering, computing & technology : Computer science
http://hdl.handle.net/10993/19526
A Stochastic Cyber-Attack Detection Scheme for Stochastic Control Systems Based on Frequency-Domain Transformation Technique
English
Li, Yumei mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Voos, Holger mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit > ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)]
Darouach, Mohamed mailto []
15-Oct-2014
International Conference on Network and System Security, NSS 2014, Xi'An, China, 15-17 October 2014
Au, Man ho
Springer
1
209-222
Yes
Yes
International
978-3-319-11697-6
Switzerland
8th International Conference on Network and System Security
October 15-17, 2014
Xi'An
China
[en] Cyber-attacks detection ; Stochastic control system ; Stochastic DoS
[en] Based on frequency-domain transformation technique, this paper proposes an attack detection scheme for stochastic control systems under stochastic cyber-attacks and disturbances. The focus is on designing an anomaly detector for the stochastic control systems. First, we construct a model of stochastic control system with stochastic cyber-attacks which satisfy the Markovian stochastic process. And we also introduced the stochastic attack models that a control system is
possibly exposed to. Next, based on the frequency-domain transformation technique and linear algebra theory, we propose an algebraic detection scheme for a possible stochastic cyber-attack. We transform the detector error dynamic equation into an algebraic equation. By analyzing the rank of the stochastic matrix E(Q (z0)) in the algebraic equation, residual information is obtained and anomalies in the stochastic system are detected. In addition, sufficient and necessary conditions guaranteeing the detectability of the stochastic cyber-attacks are obtained. The presented detection approach in this paper is simple, straightforward
and more ease to implement. Finally, the results are applied to some physical systems that are respectively subject to a stochastic data denial-of-service (DoS) attack and a stochastic data deception attack on the actuator. The simulation results underline that the detection approach is efficient and feasible in practical application.
Interdisciplinary Centre for Security Reliability and Trust (SnT)
Fonds National de la Recherche - FnR
Researchers ; Professionals ; Students ; Others
http://hdl.handle.net/10993/19526

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