On-line verification of current-state opacity by Petri nets and integer linear programming

On-line verification of current-state opacity by Petri nets and integer linear programming Opacity is a security and privacy property that evaluates whether an external observer (intruder) can infer a secret of a system by observing its behavior. This paper proposes an on-line approach to address the problem of current-state opacity in discrete event systems (DESs) modeled in a labeled Petri Net (PN) framework and by observing its evolution. An observation of the system is said to be current-state opaque if the intruder is unable to determine whether the current state of the system is within a set of secret states, otherwise it is said to be not current-state opaque. The proposed approach to verify the current-state opacity works on-line: the verification algorithm waits for the occurrence of an observable event and uses Integer Linear Programming problem solutions to verify if the behavior of the system is current-state opaque to the intruder under the given observation. Moreover, the proposed method is applied in two different settings: (i) a centralized approach where the intruder has full knowledge of the system model but can partially observe the system behavior; (ii) a decentralized approach where a set of intruders can observe different event sets and collaborate with a coordinator to disclose the same secret. Finally, experimental results are presented to demonstrate the efficiency of the proposed method. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Automatica Elsevier

On-line verification of current-state opacity by Petri nets and integer linear programming

Loading next page...
 
/lp/elsevier/on-line-verification-of-current-state-opacity-by-petri-nets-and-vPmXjj0sH2
Publisher
Elsevier
Copyright
Copyright © 2018 Elsevier Ltd
ISSN
0005-1098
D.O.I.
10.1016/j.automatica.2018.04.021
Publisher site
See Article on Publisher Site

Abstract

Opacity is a security and privacy property that evaluates whether an external observer (intruder) can infer a secret of a system by observing its behavior. This paper proposes an on-line approach to address the problem of current-state opacity in discrete event systems (DESs) modeled in a labeled Petri Net (PN) framework and by observing its evolution. An observation of the system is said to be current-state opaque if the intruder is unable to determine whether the current state of the system is within a set of secret states, otherwise it is said to be not current-state opaque. The proposed approach to verify the current-state opacity works on-line: the verification algorithm waits for the occurrence of an observable event and uses Integer Linear Programming problem solutions to verify if the behavior of the system is current-state opaque to the intruder under the given observation. Moreover, the proposed method is applied in two different settings: (i) a centralized approach where the intruder has full knowledge of the system model but can partially observe the system behavior; (ii) a decentralized approach where a set of intruders can observe different event sets and collaborate with a coordinator to disclose the same secret. Finally, experimental results are presented to demonstrate the efficiency of the proposed method.

Journal

AutomaticaElsevier

Published: Aug 1, 2018

References

You’re reading a free preview. Subscribe to read the entire article.


DeepDyve is your
personal research library

It’s your single place to instantly
discover and read the research
that matters to you.

Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.

All for just $49/month

Explore the DeepDyve Library

Search

Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly

Organize

Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.

Access

Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.

Your journals are on DeepDyve

Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.

All the latest content is available, no embargo periods.

See the journals in your area

DeepDyve

Freelancer

DeepDyve

Pro

Price

FREE

$49/month
$360/year

Save searches from
Google Scholar,
PubMed

Create lists to
organize your research

Export lists, citations

Read DeepDyve articles

Abstract access only

Unlimited access to over
18 million full-text articles

Print

20 pages / month

PDF Discount

20% off