用时间标记Petri网建模的离散事件系统的强电流状态不透明性验证

IF 15.3 1区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS
Tao Qin;Li Yin;Gaiyun Liu;Naiqi Wu;Zhiwu Li
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引用次数: 0

摘要

本文讨论了对由时间标记Petri网建模的离散事件系统生成的实时观测结果的强当前状态不透明性的验证。标准的当前状态不透明度不能完全表征更高级别的安全性。为了确保时间依赖系统的更高级别安全要求,我们提出了一个强不透明度版本,称为强当前状态不透明度。对于任何由实时观测得出的路径(带时间信息的状态-事件序列)π,该实时观测的强电流状态不透明性表明存在与π具有相同实时观测值的非秘密路径。我们提出了一般和非秘密状态类图,它们分别表征了时变系统的一般和非秘密状态。为了捕获非秘密状态的可观察行为,提出了一个非秘密观测器。最后,我们开发了一种称为实时并发验证器的结构来验证时间标记Petri网的强当前状态不透明性。该方法通过求解一定数量的线性规划问题来构造实时并发向量,是一种高效的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Strong Current-State Opacity Verification of Discrete-Event Systems Modeled with Time Labeled Petri Nets
This paper addresses the verification of strong cur-rent-state opacity with respect to real-time observations gener-ated from a discrete-event system that is modeled with time labeled Petri nets. The standard current-state opacity cannot completely characterize higher-level security. To ensure the higher-level security requirements of a time-dependent system, we propose a strong version of opacity known as strong current-state opacity. For any path (state-event sequence with time information) π derived from a real-time observation that ends at a secret state, the strong current-state opacity of the real-time observation signifies that there is a non-secret path with the same real-time observation as π. We propose general and non-secret state class graphs, which characterize the general and non-secret states of time-dependent systems, respectively. To capture the observable behavior of non-secret states, a non-secret observer is proposed. Finally, we develop a structure called a real-time concurrent verifier to verify the strong current-state opacity of time labeled Petri nets. This approach is efficient since the real-time concurrent ver-ifier can be constructed by solving a certain number of linear programming problems.
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来源期刊
Ieee-Caa Journal of Automatica Sinica
Ieee-Caa Journal of Automatica Sinica Engineering-Control and Systems Engineering
CiteScore
23.50
自引率
11.00%
发文量
880
期刊介绍: The IEEE/CAA Journal of Automatica Sinica is a reputable journal that publishes high-quality papers in English on original theoretical/experimental research and development in the field of automation. The journal covers a wide range of topics including automatic control, artificial intelligence and intelligent control, systems theory and engineering, pattern recognition and intelligent systems, automation engineering and applications, information processing and information systems, network-based automation, robotics, sensing and measurement, and navigation, guidance, and control. Additionally, the journal is abstracted/indexed in several prominent databases including SCIE (Science Citation Index Expanded), EI (Engineering Index), Inspec, Scopus, SCImago, DBLP, CNKI (China National Knowledge Infrastructure), CSCD (Chinese Science Citation Database), and IEEE Xplore.
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