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Enhance Recommendation by Providing Location Privacy in GeoSocial Application
Reena Gandhi, Charushila Kapde, Priyanka Kumbhar, Bindu Pandit, Prof. S. S. Sambare
Dept. of computer engineering, PCCOE, Nigdi, Pune 44
In today’s world, there are many geosocial applications which are based on large extent. But the location privacy provided is very inadequate. In this paper, we are using LocX, which is a novel alternative for improving location privacy without adding uncertainty or relying on strong assumptions. User shares their secrets which get stored on server in encrypted format by using transformations. Recommender can access the users location and data by using symmetric key. LocX provides privacy with little performance overhead making it useful for today’s mobile devices.