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Synthesis of Dynamic Masks for Infinite-Step Opacity

机译:动态遮罩的无限步不透明度合成

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摘要

We investigate the problem of synthesizingdynamic masksthat preserve infinite-step opacity in the context of discrete-event systems. A system equipped with a dynamic mask, which acquires information dynamically by turning sensors on/off, is said to be infinite-step opaque if an outside intruder that can access all information acquired can never infer that the system was at some secret state for some specific previous instant. Existing works on the dynamic mask synthesis problem only consider current-state opacity. However, synthesizing dynamic masks for infinite-step opacity, a notion stronger than current-state opacity, is much more challenging. The main reason is that delayed information is involved in this problem and whether or not a current secret will be revealed depends on sensing decisions to be synthesized in the future. In this paper, a new type of information state is proposed to capture all delayed information in the infinite-step opacity problem. An effective algorithm is then presented to solve the synthesis problem. Our result extends existing dynamic mask synthesis techniques from current-state opacity to infinite-step opacity.
机译:我们研究了在离散事件系统的情况下保留无限步不透明度的动态蒙版的合成问题。如果可以访问所有获取的信息的外部入侵者永远无法推断出某个系统处于某个秘密状态,那么一个装有动态遮罩的系统可以通过打开/关闭传感器来动态获取信息,该系统是无限步不透明的。特定的先前瞬间。关于动态掩模合成问题的现有著作仅考虑了当前状态的不透明度。然而,为无限步不透明性(比当前状态不透明性更强的概念)合成动态蒙版更具挑战性。主要原因是此问题涉及延迟的信息,并且是否会透露当前机密取决于将来要合成的感知决策。在本文中,提出了一种新型的信息状态来捕获无限步不透明度问题中的所有延迟信息。然后提出了一种有效的算法来解决综合问题。我们的结果将现有的动态蒙版合成技术从当前状态的不透明度扩展到了无限步的不透明度。

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