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• W2438688052 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." @default.
• W2438688052 created "2016-06-24" @default.
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• W2438688052 date "2016-05-01" @default.
• W2438688052 modified "2023-09-26" @default.
• W2438688052 title "Quantification of distributed secrecy loss in stochastic discrete event systems under bounded-delay communications" @default.
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• W2438688052 doi "https://doi.org/10.1109/wodes.2016.7497875" @default.
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