A Privacy-Preserving Social P2P Infrastructure for People-Centric Sensing

Authors Michael Dürr, Kevin Wiesner

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Michael Dürr
Kevin Wiesner

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Michael Dürr and Kevin Wiesner. A Privacy-Preserving Social P2P Infrastructure for People-Centric Sensing. In 17th GI/ITG Conference on Communication in Distributed Systems (KiVS 2011). Open Access Series in Informatics (OASIcs), Volume 17, pp. 176-181, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2011)


The rapid miniaturization and integration of sensor technologies into mobile Internet devices combined with Online Social Networks allows for enhanced sensor information querying, subscription, and task placement within People-Centric Sensing networks. However, PCS systems which exploit knowledge about OSN user profiles and context information for enhanced service provision might cause an unsolicited application and dissemination of highly personal and sensitive data. In this paper, we propose a protocol extension to our OSN design Vegas which enables secure, privacy-preserving, and trustful P2P communication between PCS participants. By securing knowledge about social links with standard public key cryptography, we achieve a degree of anonymity at a trust level which is almost good as that provided by a centralized trusted third party.
  • People-Centric Sensing
  • Online Social Networks
  • P2P
  • Privacy
  • Trust


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