Transient Change Detection in Mixed Count and Continuous Random Data and the Cyber-Physical Systems Security - Archive ouverte HAL Access content directly
Conference Papers Year : 2016

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

(1)
1

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.
Not file

Dates and versions

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

Identifiers

Cite

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⟩
9 View
0 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More