activity
20162019
most citedA Least Squares Approach to the Static Traffic Analysis of High-Latency Anonymous Communication Systems

15 citations · 30 across the 7 of their papers we have counts for

collaborators

9 papers

cs.CR2019

Filter Design for Delay-Based Anonymous Communications

Simon Oya, Fernando Pérez-González, Carmela Troncoso

In this work, we address the problem of designing delay-based anonymous communication systems. We consider a timed mix where an eavesdropper wants to learn the communication patter…

cs.CR20192 cited

Understanding the Effects of Real-World Behavior in Statistical Disclosure Attacks

Simon Oya, Carmela Troncoso, Fernando Pérez-González

High-latency anonymous communication systems prevent passive eavesdroppers from inferring communicating partners with certainty. However, disclosure attacks allow an adversary to r…

cs.CR201915 cited

A Least Squares Approach to the Static Traffic Analysis of High-Latency Anonymous Communication Systems

Fernando Pérez-González, Carmela Troncoso, Simon Oya

Mixes, relaying routers that hide the relation between incoming and outgoing messages, are the main building block of high-latency anonymous communication networks. A number of so-…

cs.CR20197 cited

Meet the Family of Statistical Disclosure Attacks

Simon Oya, Carmela Troncoso, Fernando Pérez-González

Disclosure attacks aim at revealing communication patterns in anonymous communication systems, such as conversation partners or frequency. In this paper, we propose a framework to…

cs.IT20191 cited

MPEG-2 Prediction Residue Analysis

David Vázquez-Padín, Fernando Pérez-González

Based on the use of synthetic signals and autoregressive models to characterize temporal dependencies and inter prediction processes, a semi-analytic model is built to explain the…

cs.CR2018

Rethinking Location Privacy for Unknown Mobility Behaviors

Simon Oya, Carmela Troncoso, Fernando Pérez-González

Location Privacy-Preserving Mechanisms (LPPMs) in the literature largely consider that users' data available for training wholly characterizes their mobility patterns. Thus, they h…