Attack model. We model attacks by considering a bipartite graph G = ( A ∪ B, E) with partite sets A and B. The set of edges ...

Measuring anonymity: the disclosure attack ... Abstract: Anonymity services hide user identity at the network or address level but are vulnerable to attacks ...

5 They don't give typical values for |A′| for Web-Mixes, but we generally expect |A′|. < 100. Attack model. We model attacks by considering a bipartite graph G ...

This work quantifies the number of observations required for an attack to be able to estimate the identity of a person using anonymity services.

Nov 1, 2003 · The effects of disclosure attack against user communications protected by an anonymity technique is measured. Anonymity services are vulnerable ...

Oct 22, 2024 · They describe simple attacks against senders in anonymity systems that persistently send to a single receiver. The original intersection attack ...

Anonymity services hide user identity at the network or address level but are vulnerable to attacks involving repeated observations of the user.

Measuring Anonymity: The Disclosure Attack. Agrawal, Dakshi ; Kesdogan, Dogan ... We are interested in the statistical properties of the disclosure attack, a ...

Apr 11, 2016 · Anonymous Communications Measuring Anonymity: The Disclosure Attack Anonymity services hide user identity at the network or

Oct 16, 2019 · In this paper, we revisit a particularly efficient family of attacks which is based on the Statistical Disclosure Attack (SDA) [2] and propose a.