A Privacy-Preserving and Trusted Social Relationship Similarity Detection Protocol in Mobile Social Networks

Weirong Cui, Chenglie Du

Research output: Contribution to journalArticlepeer-review

Abstract

In mobile social networks, unfamiliar users can decide whether to establish new social relationships between each other by examining whether they have common friends. The biggest challenge during this process is how to protect the users' privacy and prevent users from forging friend relationships. In order to address this challenge, a common friends detection method based on identity-based encryption technology is presented in this paper. In our method, a new evidence of friend relationship is designed, which can establishes a one-to-one relationship between the issuer of evidence and the owner of evidence. Based on the evidence, a privacy-preserving and trusted common friends detection protocol is designed. We provide thorough security analysis and performance evaluation on our scheme.

Original languageEnglish
Pages (from-to)736-742
Number of pages7
JournalXibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University
Volume35
Issue number4
StatePublished - 1 Aug 2017

Keywords

  • Common friends
  • Computational efficiency
  • Mobile social networks
  • Privacy preserving
  • Social relationship similarity

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