Quantification of distributed secrecy loss in stochastic discrete event systems under bounded-delay communications

M. Ibrahim, Jun Chen, Ratnesh Kumar
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引用次数: 1

Abstract

Unlike information, behaviors cannot be encrypted and may instead be protected by providing covers that generate indistinguishable observations from behaviors needed to be kept secret. Such a scheme may still leak information about secrets due to statistical difference between the occurrence probabilities of the secrets and their covers. Jensen-Shannon Divergence (JSD) is a possible means of quantifying statistical difference between two distributions and was used to measure such information leak as in our earlier work [1]. This paper studies secrecy quantification in stochastic partially-observed discrete event systems in the presence of distributed collusive attackers/observers, each with its own local partial observability, generalizing the setting of single observer in [1]. The local observers collude and exchange their observations over communication channels that introduce bounded delays. We propose a method to compute the JSD-based secrecy measure in this distributed setting by introducing bounded-delay channel models to extend the system model to capture the effect of exchange of observations, and to measure the distributed secrecy loss.
有界延迟通信下随机离散事件系统分布式保密损失的量化
与信息不同,行为不能加密,而是可以通过提供遮蔽物来保护,从而产生与需要保密的行为无法区分的观察结果。由于秘密的发生概率与其掩体的发生概率存在统计上的差异,这种方案仍然可能泄露有关秘密的信息。Jensen-Shannon散度(JSD)是量化两个分布之间的统计差异的一种可能的方法,在我们早期的工作[1]中,它被用于度量此类信息泄漏。本文研究了随机部分可观察离散事件系统中存在具有局部可观察性的分布式合谋攻击者/观察者的保密量化问题,推广了[1]中单个观察者的设置。局部观察者串通并通过引入有限延迟的通信通道交换他们的观察结果。我们提出了一种在分布式环境下计算基于jsd的保密措施的方法,通过引入有界延迟信道模型来扩展系统模型,以捕获观测交换的影响,并测量分布式保密损失。
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