BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Memento EPFL//
BEGIN:VEVENT
SUMMARY:Anonymous Communication Networks
DTSTART:20160624T150000
DTEND:20160624T170000
DTSTAMP:20260407T061614Z
UID:360c6062816e611a8cc199fe778a9cd94c4c907b4d2a3c6079aea344
CATEGORIES:Conferences - Seminars
DESCRIPTION:Ludovic Barman\nEDIC Candidacy Exam\nExam President: Prof. Bry
 an Ford\nThesis Director: Prof. J-P Hubaux\nCo-examiner: Dr. Philippe Oech
 slin\nBackground papers:Riposte: An anonymous messaging system handling mi
 llions of users.Herd: A Scalable\, Traffic Analysis Resistant Anonymity Ne
 twork for VoIP Systems.Protecting your daily in-home activity information 
 from a wireless snooping attack.Abstract\nAnonymous communication networks
  are widely used by individual seeking privacy when communicating with the
  Internet. Unfortunately\, the most widespread anonymous communication net
 work\, Tor\, is known to be vulnerable to traffic-analysis attacks\, putti
 ng users at risk. Protecting against this class of attack is costly\, and 
 requires compromises either in latency or scalability. To better understan
 d the cost of providing traffic-analysis resistance\, we analyze two state
 -of-the-art solutions that are robust against traffic-analysis\, and discu
 ss their shortcomings. We then present a local\, medium-cost traffic-analy
 sis attack\, which highlights a new threat model. Finally\, we present Pri
 Fi\, a traffic-analysis resistant network with low-latency\; we discuss th
 e key differences between PriFi and the two solutions presented\, and expl
 ain why PriFi provides better protection in the new threat model introduce
 d by the traffic-analysis attack.
LOCATION:BC 229 https://plan.epfl.ch/?room==BC%20229
STATUS:CONFIRMED
END:VEVENT
END:VCALENDAR