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Nearby Friend Alert: Location Anonymity in Mobile Geosocial Networks
Oct.-Dec. 2013 (vol. 12 no. 4)
pp. 62-70
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.
Index Terms:
Mobile communication,Mobile computing,Social network services,Privacy,Pervasive computing,Protocols,Accuracy,pervasive computing,location privacy,geosocial network,location update,mobile computing
Citation:
Hong Ping Li, Haibo Hu, Jianliang Xu, "Nearby Friend Alert: Location Anonymity in Mobile Geosocial Networks," IEEE Pervasive Computing, vol. 12, no. 4, pp. 62-70, Oct.-Dec. 2013, doi:10.1109/MPRV.2012.82
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