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SUMMARY:PEPSI: Privacy-Enhanced Participatory Sensing Infrastructure - Cla
 udio Soriente\, Universidad Politecnica de Madrid
DTSTART:20110621T100000Z
DTEND:20110621T110000Z
UID:TALK31900@talks.cam.ac.uk
CONTACT:Microsoft Research Cambridge Talks Admins
DESCRIPTION:Participatory Sensing combines the ubiquity of mobile phones w
 ith the sensing capabilities of Wireless Sensor Networks. It targets the p
 ervasive collection of information\, e.g.\, temperature\, traffic conditio
 ns\, or medical data. Users produce measurements from their mobile devices
 \, thus\, a number of privacy concerns -- due to the personal information 
 conveyed by reports -- may hinder the large-scale deployment of participat
 ory sensing applications. Prior work has attempted to protect privacy in p
 articipatory sensing\, but it relied on unrealistic assumptions and achiev
 ed no provably-secure guarantees.\n\nIn this paper\, we introduce PEPSI: P
 rivacy-Enhanced Participatory Sensing Infrastructure. We explore realistic
  architectural assumptions and a minimal set of formal requirements aiming
  at protecting privacy of both data producers and consumers. We also prese
 nt an instantiation that attains privacy guarantees with provable security
  at very low additional computational cost and almost no extra communicati
 on overhead.\nFinally\, we highlight some problems that call for further r
 esearch in this developing area.\n
LOCATION:Small lecture theatre\, Microsoft Research Ltd\, 7 J J Thomson Av
 enue (Off Madingley Road)\, Cambridge
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