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To Enhance Recommendation By Providing Location Privacy In GeoSocial Application

Charushila Kapde, Priyanka Kumbhar , Reena Gandhi, Bindu Pandit, S. S. Sambare

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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Индекс Коперника
Академические ключи
CiteFactor
Космос ЕСЛИ
РефСик
Университет Хамдарда
Всемирный каталог научных журналов
Импакт-фактор Международного инновационного журнала (IIJIF)
Международный институт организованных исследований (I2OR)
Cosmos

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