A Location Privacy Aware Friend Locator

Laurynas Siksnys, Jeppe Rishede Thomsen, Simonas Saltenis, Man Lung Yiu, Ove Andersen

Publikation: Bidrag til tidsskriftKonferenceartikel i tidsskriftForskningpeer review

47 Citationer (Scopus)
535 Downloads (Pure)

Abstrakt

A location-based service called friend-locator notifies a user if the user is geographically close to any of the user’s friends. Services of this kind are getting increasingly popular due to the penetration of GPS in mobile phones, but existing commercial friend-locator services require users to trade their location privacy for quality of service, limiting the attractiveness of the services. The challenge is to develop a communication-efficient solution such that (i) it detects proximity between a user and the user’s friends, (ii) any other party is not allowed to infer the location of the user, and (iii) users have flexible choices of their proximity detection distances. To address this challenge, we develop a client-server solution for proximity detection based on an encrypted, grid-based mapping of locations. Experimental results show that our solution is indeed efficient and scalable to a large number of users.
OriginalsprogEngelsk
BogserieLecture Notes in Computer Science
Vol/bind5644
Sider (fra-til)405-410
Antal sider6
ISSN0302-9743
DOI
StatusUdgivet - 2009
BegivenhedAdvances in Spatial and Temporal Databases, 11th International Symposium - Aalborg, Danmark
Varighed: 8 jul. 200910 jul. 2009
Konferencens nummer: 11

Konference

KonferenceAdvances in Spatial and Temporal Databases, 11th International Symposium
Nummer11
Land/OmrådeDanmark
ByAalborg
Periode08/07/200910/07/2009

Bibliografisk note

Titel:
Advances in Spatial and Temporal Databases, 11th International Symposium

Oversat titel:


Oversat undertitel:


Udgave:
5644

Forlag:
Springer

ISBN (Trykt):
978-3-642-02981-3

ISBN (Elektronisk):


Publikationsserier:
Lecture Notes in Computer Science, Springer, 5644

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