Three New Versions of Strong Opacity Based on the Security Quantification Consideration

Privacy security research is one of the most important issues for the cyber-physical systems, and opacity as an information flow property, provides a new perspective for studying privacy security in complex information interaction scenarios. In the context of the discrete event systems, vital privacy can be modeled as secret states and based on the available observations (i.e., the sequence of observable events), intruders would analyse whether something secret has occurred. In this article, three kinds of strong W-limited opacity, named strong W, <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$(W,M)$ </tex-math></inline-formula>, and <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$(W,\infty)$ </tex-math></inline-formula> opacity for the partially observed discrete event system are investigated based on the security quantification consideration. It is assumed that the vicious eavesdropper has a complete knowledge of given systems’ structure and analyses something secret by limited observable information. Meanwhile, in addition to the current and delayed information analysis, predictive information analysis is first added to the strong opacity setting. W denotes the limited observable information and <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$M~(\infty)$ </tex-math></inline-formula> represents the finite (infinite) predictability. Subsequently, a pivotal technique called labeled W-limited state estimator is constructed, based on which, verifications for the three kinds of strong W-limited opacity are accomplished with the help of secret-labeled states and secret-reaching states. The current work shows that the complexity is <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$O(2^{2|X|}(W+1)|\Sigma _{o}|)$ </tex-math></inline-formula>. Finally, the upper bounds of W and M are also discussed, and it is proved to be <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$|X|(2^{|X|}-1)$ </tex-math></inline-formula> and <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$2^{|X\backslash X_{S}|}-1$ </tex-math></inline-formula>. (X is the state set, <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$X_{S}$ </tex-math></inline-formula> is the secret state set, and <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\Sigma _{o}$ </tex-math></inline-formula> denotes the observable events set.)

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Journal
IEEE Transactions on Systems Man and Cybernetics Systems
Published
2024-08-26
DOI
https://doi.org/10.1109/tsmc.2024.3441730
Citations
1
Primary Topic
Cognitive Computing and Networks
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article
Field-Weighted Citation Impact
0.35

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article

Three New Versions of Strong Opacity Based on the Security Quantification Consideration

Zhongxin Liu, Yingrui Zhou, Zengqiang Chen, Zhipeng Zhang
1 citations
IEEE Transactions on Systems Man and Cybernetics Systems
Cognitive Computing and Networks
0.35
article

Three New Versions of Strong Opacity Based on the Security Quantification Consideration

Zhongxin Liu, Yingrui Zhou, Zengqiang Chen, Zhipeng Zhang
article en
1 citations

Abstract

Privacy security research is one of the most important issues for the cyber-physical systems, and opacity as an information flow property, provides a new perspective for studying privacy security in complex information interaction scenarios. In the context of the discrete event systems, vital privacy can be modeled as secret states and based on the available observations (i.e., the sequence of observable events), intruders would analyse whether something secret has occurred. In this article, three kinds of strong W-limited opacity, named strong W, <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$(W,M)$ </tex-math></inline-formula>, and <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$(W,\infty)$ </tex-math></inline-formula> opacity for the partially observed discrete event system are investigated based on the security quantification consideration. It is assumed that the vicious eavesdropper has a complete knowledge of given systems’ structure and analyses something secret by limited observable information. Meanwhile, in addition to the current and delayed information analysis, predictive information analysis is first added to the strong opacity setting. W denotes the limited observable information and <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$M~(\infty)$ </tex-math></inline-formula> represents the finite (infinite) predictability. Subsequently, a pivotal technique called labeled W-limited state estimator is constructed, based on which, verifications for the three kinds of strong W-limited opacity are accomplished with the help of secret-labeled states and secret-reaching states. The current work shows that the complexity is <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$O(2^{2|X|}(W+1)|\Sigma _{o}|)$ </tex-math></inline-formula>. Finally, the upper bounds of W and M are also discussed, and it is proved to be <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$|X|(2^{|X|}-1)$ </tex-math></inline-formula> and <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$2^{|X\backslash X_{S}|}-1$ </tex-math></inline-formula>. (X is the state set, <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$X_{S}$ </tex-math></inline-formula> is the secret state set, and <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\Sigma _{o}$ </tex-math></inline-formula> denotes the observable events set.)

IEEE Transactions on Systems Man and Cybernetics SystemsVol. 54(11)
Qingdao University of Science and Technology (CN), Tiangong University (CN), Nankai University (CN)
National Natural Science Foundation of China
Climate action
Openalex Percentile: Top 34%
Cognitive Computing and Networks
0.35
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