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SUMMARY:Bayesian traffic analysis of anonymous communications  
DTSTART:20100624T161500
DTSTAMP:20260510T081833Z
UID:8f629e543e72a14f2598599c586124e7408e812a1a3f8382cf3038a0
CATEGORIES:Conferences - Seminars
DESCRIPTION:Dr George Danezis\, Microsoft Research\nThe field of anonymous
  communications has received considerable interest in the past 10 years\, 
 with systems such as Mixminion and Tor fielded and used. At the same time 
 traffic analysis of anonymity systems\, the science of extracting informat
 ion about who is talking to whom\, has made significant progress. In this 
 talk we present our latest result on how to cast most current traffic anal
 ysis attacks in the framework of Bayesian inference\, and how we apply too
 ls from probabilistic modelling and sampling to evaluate anonymity. We wil
 l be reformulating long term de-anonymization attacks\, classic mix system
 s as well as pass-the-parcel Crowds in terms of this paradigm\, and look a
 t the road ahead when it comes to analysing anonymity.\nDr. Danezis' homep
 age
LOCATION:BC 01 https://plan.epfl.ch/?room==BC%2001
STATUS:CONFIRMED
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