BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Talks.cam//talks.cam.ac.uk//
X-WR-CALNAME:Talks.cam
BEGIN:VEVENT
SUMMARY:Bayesian Inference and Traffic Analysis - Carmela Troncoso\, Micro
 soft Research Cambridge/KU Leuven(COSIC)
DTSTART:20081209T161500Z
DTEND:20081209T171500Z
UID:TALK15328@talks.cam.ac.uk
CONTACT:Andrew Lewis
DESCRIPTION:Traffic analysis attacks on anonymity networks were for long b
 ased on heuristics that allow an attacker to uncover communication partner
 s under specific assumptions. However\, slight changes in the model would 
 render the methods useless. We present a general model for the analysis of
  mix networks which captures characteristics of anonymity systems subject 
 to constraints while being able to accommodate most previously proposed at
 tacks. Furthermore\, we show how this model can be used to obtain the prob
 abilities of who speaks with whom through the use of Bayesian Inference te
 chniques and Markov Chain Monte Carlo simulations.
LOCATION:Lecture Theatre 2\, Computer Laboratory\, William Gates Building
END:VEVENT
END:VCALENDAR