{"title":"Quantification of distributed secrecy loss in stochastic discrete event systems under bounded-delay communications","authors":"M. Ibrahim, Jun Chen, Ratnesh Kumar","doi":"10.1109/WODES.2016.7497875","DOIUrl":null,"url":null,"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.","PeriodicalId":268613,"journal":{"name":"2016 13th International Workshop on Discrete Event Systems (WODES)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 13th International Workshop on Discrete Event Systems (WODES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WODES.2016.7497875","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.