Pr2-P2PSIP: Privacy Preserving P2P Signaling for VoIP and IM

Ali Fessi, Nathan S. Evans, Heiko Niedermayer, Ralph Holz

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

8 Citations (Scopus)

Abstract

In the last few years, there has been a good deal of effort put into the research and standardization of P2P-based VoIP signaling, commonly called P2PSIP. However, there has been one important issue which has not been dealt with adequately, privacy. Specifically i) location privacy, and ii) privacy of social interaction in terms of who is communicating with whom. In this paper, we present Pr2-P2PSIP, a Privacy-Preserving P2PSIP signaling protocol for VoIP and IM. Our contribution is primarily a feasibility study tackling the privacy issues inherent in P2PSIP. We leverage standard security protocols as well as concepts and experiences learned from other anonymization networks such as Tor and I2P where applicable. We present the design and on-going implementation of Pr2-P2PSIP and provide a threat analysis as well as an analysis of the overhead of adding privacy to P2PSIP networks. Particularly we analyze cryptographic overhead, signaling latency and reliability costs.
Original languageEnglish
Title of host publicationIPTComm '10
Subtitle of host publicationProceedings of IPTComm 2010, Principles, Systems and Applications of IP Telecommunications
EditorsGeorg Carle, Helmut Reiser, Gonzalo Camarillo, Vijay K. Gurbani
PublisherAssociation for Computing Machinery (ACM)
Pages134–145
ISBN (Print)978-1-4503-0631-7
DOIs
Publication statusPublished - 2010
Externally publishedYes
EventInternational Conference on Principles, Systems and Applications of IP Telecommunications, IPTComm 2010 - Munich, Germany
Duration: 2 Aug 20103 Aug 2010

Conference

ConferenceInternational Conference on Principles, Systems and Applications of IP Telecommunications, IPTComm 2010
Abbreviated titleIPTComm
CountryGermany
CityMunich
Period2/08/103/08/10

Keywords

  • P2P signaling
  • P2PSIP
  • Location privacy
  • Social interaction privacy
  • Onion routing
  • Reliability costs

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