Efficient Geosocial Application Query Processing With Privacy Preserving Policy

  Mayura Phadnis,  Prof.G.V.Kadam

In recent years use of smart phones enables user to communicate surrounding environment through applications. User frequently searches information by asking other individuals even when they have admittance to huge reservoirs of information such as the internet and libraries. Friend recommendations are become very common source of information particularly for location-specific, community-specific and time-specific. This new era of geosocial application brings many threats to the security of the user. Many algorithms and privacy preserving frameworks have been proposed in the literature, but none of them achieve the desired privacy This paper proposes privacy mechanism along with the recommendation compression approach while transmitting data to the another user. The compression takes place while storing the recommendations on the data server which improves the efficiency while retrieving the recommendations from the server. Compression and encryption provides both privacy and performance for the system.

Keywords- Geosocial networks, Location Privacy, Nearest neighbor queries, Circular range queries, Compression.

Unique Identification Number - IJEDR1601033
Page Number(s) - 188-194
Pubished in - Volume 4 | Issue 1 | February 2016
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)

  Mayura Phadnis,  Prof.G.V.Kadam,   "Efficient Geosocial Application Query Processing With Privacy Preserving Policy", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.4, Issue 1, pp.188-194, February 2016, Available at :http://www.ijedr.org/papers/IJEDR1601033.pdf