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IEEE Control Systems Letters
Article . 2025 . Peer-reviewed
License: IEEE Copyright
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Verification of K -Step Non-Interference for Live Bounded and Reversible Discrete Event Systems Modeled With Petri Nets

Authors: Francesco Basile; Gianmaria De Tommasi; Sara Dubbioso; Federico Fiorenza;

Verification of K -Step Non-Interference for Live Bounded and Reversible Discrete Event Systems Modeled With Petri Nets

Abstract

The concept of K-step non-interference for discrete event systems deals with the possibility of inferring a secret after at most K observations following the occurrence of the secret itself. K-step non-interference accounts for the possibility of not being able to infer a secret in due time to threaten system’s security. Indeed, if a secret is detected after a maximum delay, the inferred information may be no longer useful, hence nullifying the malicious intrusion. From this point-of-view, the concept of K-step non-interference deals with practical security. This paper formally introduces the concept of K-step non-interference and gives a necessary and sufficient condition to verify such a property when discrete event systems are modeled as bounded, live, and reversible Petri nets. The effectiveness of the proposed approach is shown by means of two examples.

Keywords

Petri nets, Integer Linear Programming problems, System security, K-step non-interference, Integer Linear Programming problems; K-step non-interference; Petri nets; System security

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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!
0
Average
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