BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Talks.cam//talks.cam.ac.uk//
X-WR-CALNAME:Talks.cam
BEGIN:VEVENT
SUMMARY:Towards Efficient Traffic-analysis Resistant Anonymity Networks - 
 Stevens Le Blond (MPI)
DTSTART:20130604T133000Z
DTEND:20130604T143000Z
UID:TALK45655@talks.cam.ac.uk
CONTACT:Eiko Yoneki
DESCRIPTION:As more and more of our lives are conducted over the Internet\
 , the need for anonymity\, including network anonymity\, is growing. Howev
 er\, existing network anonymity systems tend to sacrifice one of low laten
 cy\, high bandwidth\, or resistance to traffic-analysis in favor of the re
 maining two properties. For example\, Onion routing schemes like Tor deliv
 er low latency and high bandwidth\, but are not designed to withstand traf
 fic analysis\, making them vulnerable to state-sponsored attackers. In thi
 s talk\, I will present the design and evaluation of Aqua\, a high-bandwid
 th anonymity system for P2P file sharing that provides modest latency and 
 is resistant to traffic analysis.\n\nBio: Stevens Le Blond holds a M.Sc. f
 rom Vrije Universiteit\, Amsterdam and a Ph.D. from INRIA\, France. Steven
 s seeks to tackle high-risk / high-impact research problems in the broad a
 reas of computer systems and networks. After having enjoyed sun bathing in
  Nice\, Stevens is now experiencing actual bathing in Germany where he’s
  a postdoc in Paul Francis’ group at the Max Planck Institute for Softwa
 re Systems. Stevens' Ph.D. work has been featured in the New York times\, 
 NPR\, and the Wall Street Journal. His research has been published in lead
 ing conferences such as SIGCOMM and IMC.\n
LOCATION:FW26\, Computer Laboratory\, William Gates Builiding
END:VEVENT
END:VCALENDAR
