000198246 001__ 198246
000198246 005__ 20181203023457.0
000198246 0247_ $$2doi$$a10.1109/Tifs.2014.2318435
000198246 02470 $$2ISI$$a000338111700001
000198246 037__ $$aARTICLE
000198246 245__ $$aPrivacy-Preserving Optimal Meeting Location Determination on Mobile Devices
000198246 269__ $$a2014
000198246 260__ $$bIeee-Inst Electrical Electronics Engineers Inc$$c2014$$aPiscataway
000198246 300__ $$a16
000198246 336__ $$aJournal Articles
000198246 520__ $$aEquipped with state-of-the-art smartphones and mobile devices, today's highly interconnected urban population is increasingly dependent on these gadgets to organize and plan their daily lives. These applications often rely on current (or preferred) locations of individual users or a group of users to provide the desired service, which jeopardizes their privacy; users do not necessarily want to reveal their current (or preferred) locations to the service provider or to other, possibly untrusted, users. In this paper, we propose privacy-preserving algorithms for determining an optimal meeting location for a group of users. We perform a thorough privacy evaluation by formally quantifying privacy-loss of the proposed approaches. In order to study the performance of our algorithms in a real deployment, we implement and test their execution efficiency on Nokia smartphones. By means of a targeted user-study, we attempt to get an insight into the privacy-awareness of users in location-based services and the usability of the proposed solutions.
000198246 6531_ $$aMobile applications
000198246 6531_ $$aOblivious computations
000198246 6531_ $$aPrivacy
000198246 700__ $$0242757$$g167223$$aBilogrevic, Igor
000198246 700__ $$aJadliwala, Murtuza
000198246 700__ $$aJoneja, Vishal
000198246 700__ $$aKalkan, Kübra
000198246 700__ $$g105427$$aHubaux, Jean-Pierre$$0240456
000198246 700__ $$aAad, Imad
000198246 773__ $$j9$$tIEEE Transactions on Information Forensics and Security$$k7$$q1141-1156
000198246 909C0 $$xU10426$$0252452$$pLCA1
000198246 909CO $$pIC$$particle$$ooai:infoscience.tind.io:198246
000198246 917Z8 $$x167223
000198246 917Z8 $$x148230
000198246 937__ $$aEPFL-ARTICLE-198246
000198246 973__ $$rREVIEWED$$sPUBLISHED$$aEPFL
000198246 980__ $$aARTICLE