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Transient Change Detection in Mixed Count and Continuous Random Data and the Cyber-Physical Systems Security

Abstract : The problem of sequential transient change detection is considered in the paper. The original contribution of this paper is twofold: first, a mixed count/continuous statistical model with abrupt changes is considered in the paper; second, a new sequential test for such a mixed count/continuous statistical model is designed and studied. The theoretical findings are applied to the problem of cyber-physical attack detection.
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Conference papers
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https://hal-utt.archives-ouvertes.fr/hal-02883342
Contributor : Jean-Baptiste Vu Van <>
Submitted on : Monday, June 29, 2020 - 9:21:45 AM
Last modification on : Tuesday, June 30, 2020 - 3:33:06 AM

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Igor Nikiforov. Transient Change Detection in Mixed Count and Continuous Random Data and the Cyber-Physical Systems Security. International Conference on Distributed Computer and Communication Networks, DCCN 2016, Nov 2016, Moscow, Russia. pp.57-63, ⟨10.1007/978-3-319-51917-3_6⟩. ⟨hal-02883342⟩

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