Quantifying leakage in the presence of unreliable sources of information

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Belief and min-entropy leakage are two well-known approaches to quantify information flow in security systems. Both concepts stand as alternatives to the traditional approaches founded on Shannon entropy and mutual information, which were shown to provide inadequate security guarantees. In this paper we unify the two concepts in one model so as to cope with the frequent (potentially inaccurate, misleading or outdated) attackers' side information about individuals on social networks, online forums, blogs and other forms of online communication and information sharing. To this end we propose a new metric based on min-entropy that takes into account the adversary's beliefs.

论文关键词:Information hiding,Quantitative information flow,Belief combination,Probabilistic models,Uncertainty,Accuracy

论文评审过程:Received 19 August 2016, Accepted 19 August 2016, Available online 3 April 2017, Version of Record 11 June 2017.

论文官网地址:https://doi.org/10.1016/j.jcss.2017.03.013