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    Optimal Stealthy Attack under KL Divergence and Countermeasure with Randomized Threshold

    Kung, Enoch and Dey, Subhrakanti and Shi, Ling (2017) Optimal Stealthy Attack under KL Divergence and Countermeasure with Randomized Threshold. IFAC-PapersOnLine, 50 (1). pp. 9496-9501. ISSN 2405-8963

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    In a cyber-physical system, there are potential sources of malicious attacks that can damage the estimation quality in an underlying network control system. The attacker aims to maximize these damages while the estimator attempts to minimize them. In this paper we define an attack’s stealth based on the KL divergence and obtain an optimal attack. Furthermore, we suggest one method in which the estimator may limit the damage to the system while imposing on any attack a probability for it to be non-stealthy.

    Item Type: Article
    Additional Information: This paper was presented at IFAC 2017 World Congress - The 20th World Congress of the International Federation of Automatic Control, 9-14 Jul 2017, Toulouse, France.
    Keywords: Cyber-Physical Systems; Detection; Security;
    Academic Unit: Faculty of Science and Engineering > Electronic Engineering
    Faculty of Science and Engineering > Research Institutes > Hamilton Institute
    Item ID: 11898
    Identification Number:
    Depositing User: Subhrakanti Dey
    Date Deposited: 28 Nov 2019 12:04
    Journal or Publication Title: IFAC-PapersOnLine
    Publisher: Elsevier
    Refereed: Yes
    Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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