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

Igor V. Nikiforov (1)

1 LM2S - Laboratoire Modélisation et Sûreté des Systèmes

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.

Domains: Computer Science [cs]

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⟩