LocX - Privacy In General Location-Based Services (LBS)

Abstract

A recent advisement to this space, geo social networks (GSNs) further amass fine grained location information, through check-ins performed by users at visited venues. Convivial networks have been shown to leak and even sell utilize data to third parties. There subsists therefore a conflict. Online convivial networks have become a consequential source of personal information. Profit is the main participation incentive for convivial network providers. Its reliance on utilize profiles their users voluntarily reveal a wealth of personal data, including age, gender, contact information, predilections and status updates. LCPs are statistics built from the profiles of users that have visited a certain location or a set of co-located users. LCP endows users with vigorous privacy guarantees and providers with correctness assurances. In integration to a venue centric approach, we propose a decentralized solution for computing authentic time LCP snapshots over the profiles of collocated users. The implementation shows that VC Profile is efficient; the terminus-to-end overhead is minute even under vigorous privacy and correctness assurances. Without privacy people may be reluctant to utilize geo social networks; without utilize information the provider and venues cannot support applications and have no incentive to participate. In this paper, we propose to take first steps toward addressing the conflict between profit and privacy in geo social networks. We introduce VCPROFILE a novel framework location centric profiles (LCPs).