论文标题

在部分观察下的离散事件系统中的事件隐藏和隐藏性执行

Event Concealment and Concealability Enforcement in Discrete Event Systems Under Partial Observation

论文作者

Duan, Wei, Hadjicostis, Christoforos N., Li, Zhiwu

论文摘要

受到隐私问题的启发,我们不应向外部好奇的观察者揭示系统的行为,我们调查了在部分观察下以非确定性有限自动机建模的离散事件系统中的事件隐藏和隐藏性执行。考虑到给定系统中的一部分秘密事件,如果所有秘密事件的发生仍然隐藏在一个好奇的观察者(一个窃听者)中,则隐藏性可保持。据说,如果可以在有限的观测值之后确定地确定其发生的情况,则据说(至少在某些执行下)不可发现(可推断)。当系统的隐藏性不存在时(即,一个或多个秘密事件是不可信的),我们分析了如何将捍卫者放置在系统与窃听器的接口处,可用于执行隐藏性。防御者将每个观察到的事件作为输入作为输入,并使用事件删除,插入或替换输出经过精心修改的事件序列(由窃听者查看)。如果秘密事件发生以及无论系统产生的后续活动,它始终可以部署一种操纵观察结果并永久隐藏事件的策略,据说辩护人是可以强制执行的。我们讨论了使用州估计和事件诊断中的技术来检测不可发现的秘密事件的存在,并验证C-增强性。我们还提出了一种多项式复杂性构建,以获得一种必要的和一种足够的条件,以实现c-富集性。

Inspired by privacy problems where the behavior of a system should not be revealed to an external curious observer, we investigate event concealment and concealability enforcement in discrete event systems modeled as non-deterministic finite automata under partial observation. Given a subset of secret events in a given system, concealability holds if the occurrence of all secret events remains hidden to a curious observer (an eavesdropper). A secret event is said to be (at least under some executions) unconcealable (inferable) if its occurrence can be indirectly determined with certainty after a finite number of observations. When concealability of a system does not hold (i.e., one or more secret events are unconcealable), we analyze how a defender, placed at the interface of the system with the eavesdropper, can be used to enforce concealability. The defender takes as input each observed event of the system and outputs a carefully modified event sequence (seen by the eavesdropper) using event deletion, insertion, or replacement. The defender is said to be C-enforceable if, following the occurrence of the secret events and regardless of subsequent activity generated by the system, it can always deploy a strategy to manipulate observations and conceal the events perpetually. We discuss systematic procedures to detect the presence of unconcealable secret events and verify C-Enforceability using techniques from state estimation and event diagnosis. We also propose a polynomial complexity construction for obtaining one necessary and one sufficient condition for C-Enforceability.

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