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IEEE Transactions on Automatic Control
Article . 2026 . Peer-reviewed
License: IEEE Copyright
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Article . 2026
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Threat Discrimination Between Attacks and Faults for a Class of Nonlinear Systems

Authors: Kangkang Zhang; Andreas Kasis; Thomas Parisini; Marios M. Polycarpou;

Threat Discrimination Between Attacks and Faults for a Class of Nonlinear Systems

Abstract

This paper addresses the problem of detecting and discriminating threats in cyber-physical systems, where the threats may be physical faults and cyber-attacks. We propose a sensor switching watermark scheme, composed of a watermark generator and a remover, both switching between a set of two larger (outer) and two smaller (inner) values. We show that threat detection and discrimination are achieved by properly setting these values and the switching times. In particular, the proposed methodology can handle a class of physical faults and a broad range of man-in-the-middle cyber attacks such as replay attacks and integrity attacks. A key feature of our methodology is the unpredictable switching time instants that entail a combination of random elements and private time seeds. In addition, we provide suitable design requirements for the time seeds and demonstrate how these are satisfied by a chaotic Lorenz system. Finally, we illustrate the effectiveness of the proposed methodology by numerical simulations. This version of the manuscript has been accepted for publication in IEEE Transactions on Automatic Control after peer review (Author Accepted Manuscript). It is not the final published version (Version of Record) and does not reflect any post-acceptanceimprovements. The Version of Record is available online at https://ieeexplore.ieee.org/document/11144517.

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Top 10%
Average
Average
Green