Nearby friend alert: Location anonymity in mobile geosocial networks

Hong Ping Li, Haibo HU, Jianliang XU

Research output: Contribution to journalArticlepeer-review

30 Citations (Scopus)

Abstract

Mobile geosocial networking services could be the killer app for next-generation mobile computing. However, the privacy issue - in particular, location privacy - has both users and government authors concerned. The authors address this issue for the 'nearby friend alert' service, common in mobile geosocial networks. They review representative works on privacy-preserving proximity detection and present a new quantitative solution. They adopt the grid-and-hashing paradigm and develop optimal grid overlay and multilevel grids to increase the detection accuracy while saving the wireless bandwidth. Based on these techniques, they devise the client-side location update scheme and the server-side update handling procedure for continuous proximity detection. Simulation results show that their approach is efficient and scalable under various system parameters and user moving speeds.

Original languageEnglish
Article number6392162
Pages (from-to)62-70
Number of pages9
JournalIEEE Pervasive Computing
Volume12
Issue number4
DOIs
Publication statusPublished - 2013

Scopus Subject Areas

  • Software
  • Computer Science Applications
  • Computational Theory and Mathematics

User-Defined Keywords

  • geosocial network
  • location privacy
  • location update
  • mobile computing
  • pervasive computing

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