A Bayesian Framework of Information Theoretic Metrics for Anonymity
Han Ru Pei, Z.J. Wang, Yu Wang · 2014
Information theoretic metric is popular theory to measure anonymity. However the difficulty in getting the probability distribution of anonymous subjects hampers its practical usage. In this paper we propose an analytic framework based on Bayesian inference to tackle this problem. Our method makes it possible to compare the entropy anonymity of different anonymous communication systems. We use this method to analyze Threshold Mix and point out different parameters which do and do not have influence on anonymity.