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

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Distributed Computer and Communication Networks (DCCN 2016)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 678))

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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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References

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Correspondence to Igor Nikiforov .

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Nikiforov, I. (2016). Transient Change Detection in Mixed Count and Continuous Random Data and the Cyber-Physical Systems Security. In: Vishnevskiy, V., Samouylov, K., Kozyrev, D. (eds) Distributed Computer and Communication Networks. DCCN 2016. Communications in Computer and Information Science, vol 678. Springer, Cham. https://doi.org/10.1007/978-3-319-51917-3_6

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  • DOI: https://doi.org/10.1007/978-3-319-51917-3_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-51916-6

  • Online ISBN: 978-3-319-51917-3

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