alexa To Enhance Recommendation By Providing Location Privac
ISSN ONLINE(2320-9801) PRINT (2320-9798)

International Journal of Innovative Research in Computer and Communication Engineering
Open Access

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Research Article

To Enhance Recommendation By Providing Location Privacy In GeoSocial Application

Charushila Kapde1, Priyanka Kumbhar1 , Reena Gandhi1, Bindu Pandit1, S. S. Sambare2
  1. UG Student, Dept. of Computer, PCCOE, Pune , Savitribai Phule University, Maharashtra, India
  2. Professor, Dept. of Computer, PCCOE, Pune , Savitribai Phule University, Maharashtra, India
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Abstract

Now a days there are many geo social applications which are based on large extent, so people are more concern about the security of location and respective data stored at that location. But the location privacy provided is not enough. In this paper, we are using LocX, which is a new approach for improving location privacy without adding ambiguity or relying on strong assumptions. User stores encrypted data on the server by using transformations. When user allows recommender then they can access the users location and data. LocX provides more privacy for today’s mobile devices.

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