Information Security Evaluation by Information Flow Analysis Based on Stochastic Petri Nets

The Petri-net-based information flow analysis offers an effective approach for detecting information leakage by the concept of non-interference. Although the related studies propose efficient solutions, they lack quantitative evaluation on information leakage. In this paper, we propose a novel method for quantitative evaluation of information security based on stochastic labeled Petri nets (SLPNs) and information flow analysis. Specifically, we introduce four different levels of security metrics, and provide a methodology for evaluating the information security. Furthermore, a case study is presented to show the feasibility of our method.

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Publication Details

Published
2024-10-06
DOI
https://doi.org/10.1109/smc54092.2024.10831885
Primary Topic
Network Security and Intrusion Detection
Type
article
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article

Information Security Evaluation by Information Flow Analysis Based on Stochastic Petri Nets

Dongming Xiang, Hanqian Tu, Guanjun Liu, Lin Wang
Network Security and Intrusion Detection
article

Information Security Evaluation by Information Flow Analysis Based on Stochastic Petri Nets

Dongming Xiang, Hanqian Tu, Guanjun Liu, Lin Wang
article en

Abstract

The Petri-net-based information flow analysis offers an effective approach for detecting information leakage by the concept of non-interference. Although the related studies propose efficient solutions, they lack quantitative evaluation on information leakage. In this paper, we propose a novel method for quantitative evaluation of information security based on stochastic labeled Petri nets (SLPNs) and information flow analysis. Specifically, we introduce four different levels of security metrics, and provide a methodology for evaluating the information security. Furthermore, a case study is presented to show the feasibility of our method.

Tongji University (CN), Zhejiang Sci-Tech University (CN)
Openalex Percentile: Top 70%
Network Security and Intrusion Detection
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