Bayesian Inference of Information Theoretic Metrics of Anonymity

Han Ru Pei; Zhi Jian Wang; Yu  Wang

doi:10.4028/www.scientific.net/AMR.989-994.4680

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 989-994Bayesian Inference of Information Theoretic...

Bayesian Inference of Information Theoretic Metrics of Anonymity

Abstract:

Information theoretic metrics is popular theory to measure anonymity. However the difficulty in getting the probability distribution of subjects hampers its practical usage. In this paper we propose a Bayesian inference method to tackle this problem. Our method makes it possible to compare the anonymity of different anonymous systems. We use this method to analyze Threshold Mix and point out different system parameters which do and do not have influence on anonymity.

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Periodical:

Advanced Materials Research (Volumes 989-994)

Pages:

4680-4683

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.989-994.4680

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Online since:

July 2014

Authors:

Han Ru Pei*, Zhi Jian Wang, Yu Wang

Keywords:

Anonymity, Anonymous Communications, Bayesian Inference, Metrics

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References

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