This work casts the traffic analysis of anonymity systems, and in particular mix networks, in the context of Bayesian inference. A generative probabilistic model of mix network ar...
Anonymous credentials are an important privacy-enhancing technique that allows users to convince a service provider of their legitimacy for service accesses in an anonymous manner....
This paper presents Anonymouth, a novel framework for anonymizing writing style. Without accounting for style, anonymous authors risk identification. This framework is necessary t...
Andrew W. E. McDonald, Sadia Afroz, Aylin Caliskan...
Anonymity is increasingly important for network applications concerning about censorship and privacy. The existing anonymous communication protocols generally stem from mixnet and...
The problem of security against timing based traffic analysis in multihop networks is considered in this work. In particular, the relationship between the level of anonymity prov...