PEON: privacy-enhanced opportunistic networks with applications in assistive environments

  • Authors:
  • Zhengyi Le;Gauri Vakde;Matthew Wright

  • Affiliations:
  • The University of Texas at Arlington;The University of Texas at Arlington;The University of Texas at Arlington

  • Venue:
  • Proceedings of the 2nd International Conference on PErvasive Technologies Related to Assistive Environments
  • Year:
  • 2009

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Abstract

Opportunistic Networking holds a great deal of potential for making communications easier and more flexible in pervasive assistive environments. However, security and privacy must be addressed to make these communications acceptable with respect to protecting patient privacy. In this position paper, we propose Privacy-Enhanced Opportunistic Networking (PEON), a system for using opportunistic networking in privacy-preserving way. PEON uses concepts from anonymous communications, rerouting messages through groups of peer nodes to hide the relation between the sources and destinations. By modifying group size, we can trade off between privacy and communication overhead. Further, individual nodes can make a similar trade off by changing the number of intermediate groups. We describe the cryptographic tools needed to facilitate changes in group membership and the design of simulation experiments that we will conduct to evaluate the overhead and effectiveness of our approach.