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Document Type

Journal Article

Department/Unit

Department of Computer Science

Title

Nearby Friend Alert: Location Anonymity in Mobile Geo-Social Networks

Language

English

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. © 2002-2012 IEEE.

Keywords

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

Publication Date

2013

Source Publication Title

IEEE Pervasive Computing

Volume

12

Issue

4

Start Page

62

End Page

70

Publisher

Institute of Electrical and Electronics Engineers

ISSN (print)

15361268

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