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Conference Papers Year : 2016

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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Dates and versions

hal-02883342 , version 1 (29-06-2020)

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Igor V. 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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