Issue No. 04 - Oct.-Dec. (2013 vol. 12)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MPRV.2012.82
Hong Ping Li , Hong Kong Baptist University
Haibo Hu , Hong Kong Baptist University
Jianliang Xu , Hong Kong Baptist University
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.
Mobile communication, Mobile computing, Social network services, Privacy, Protocols, Mobile radio mobility management
H. P. Li, H. Hu and J. Xu, "Nearby Friend Alert: Location Anonymity in Mobile Geosocial Networks," in IEEE Pervasive Computing, vol. 12, no. 4, pp. 62-70, 2013.