Privacy-preserving event-sharing android app implementation and testing

Fisher, John

Privacy-preserving event-sharing android app implementation and testing

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Citation

Fisher, J. Privacy-preserving event-sharing android app implementation and testing. 2014. handle: http://hdl.handle.net/10230/23105

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Abstract

Geo-social Networks (GSNs), like Foursquare, have proliferated in recent years,/npotentially allowing recommender systems to leverage this new rich source of/ndata to improve their results. Current recommender systems don’t take user privacy/ninto account though, which could expose their users to new types of privacy/nthreats. Other literature has defined four main privacy aspects: location–,/nabsence–, co-location–, and identity privacy. Mainly through the use of a Private/nSet Intersection (PSI) protocol, we tackle the first three in this thesis, in the context/nof recommending a convenient place and time for n users to meet up, based on/ntheir location histories. For the case of n = 2, we have developed an Android application/nwith two settings, normal and privacy-preserving. For the case of n > 2,/nwe have developed a server application to coordinate the efforts of the Android/napplication. This thesis describes the presented problem and documents the process/nfollowed to design and implement this software. We analyse the cost of implementing/nprivacy-preservation by comparing the Android application’s battery,/ntime, and network usage between the normal mode and the privacy-preserving/nmode. The thesis concludes that, while significant, the costs of privacy preservation/nare assumable. Future work proposed by the thesis includes extending the/nPSI protocol to work on the server for n > 2, as currently the server is assumed/nto be a trusted third party and receives all users’ full location histories.