The application of Bayesian statistics in measuring anonymity

Han-Ru Pei, Yu Wang, Zhijian Wang
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引用次数: 1

Abstract

There are numerous efforts to measure the degree of anonymity. Among which the entropy anonymity is a popular one. However in practice entropy anonymity is hardly used because one of its assumptions is difficult to meet. In this paper we propose a method to tackle this problem. Our method is based on Bayesian statistics and can be used to compare the entropy anonymity of different anonymous communication systems. We use this method to analyze Threshold Mix to show its effectiveness and usefulness.
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贝叶斯统计在匿名性度量中的应用
有许多努力来衡量匿名程度。其中,熵匿名是一种比较流行的匿名算法。然而,在实践中,由于熵匿名的一个假设很难满足,所以很少使用熵匿名。本文提出了一种解决这一问题的方法。该方法基于贝叶斯统计,可用于比较不同匿名通信系统的熵匿名性。用该方法对阈值混合进行分析,验证了该方法的有效性和实用性。
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