Title :
A Bayesian Framework of Information Theoretic Metrics for Anonymity
Author :
Han Ru Pei ; Zhi Jian Wang ; Yu Wang
Author_Institution :
Coll. of Comput. Inf. Eng.´, Hohai Univ., Nanjing, China
Abstract :
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.
Keywords :
Bayes methods; inference mechanisms; information theory; statistical distributions; Bayesian framework; Bayesian inference; anonymous communication system; anonymous subjects; entropy anonymity; information theoretic metrics; probability distribution; threshold mix; Computers; Conferences; Information technology; Anonymity metric; Anonymous communications; Bayesian inference; Information theory;
Conference_Titel :
Computer and Information Technology (CIT), 2014 IEEE International Conference on
Conference_Location :
Xi´an
DOI :
10.1109/CIT.2014.110
