Location Based Search Queries with Ultimate Privacy Preserving Considerations

  IJCTT-book-cover
 
International Journal of Computer Trends and Technology (IJCTT)          
 
© 2015 by IJCTT Journal
Volume-20 Number-1
Year of Publication : 2015
Authors : M.S.Ramadevi , S.Prabhu
  10.14445/22312803/IJCTT-V20P101

MLA

M.S.Ramadevi , S.Prabhu "Location Based Search Queries with Ultimate Privacy Preserving Considerations". International Journal of Computer Trends and Technology (IJCTT) V20(1):1-6, Feb 2015. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.

Abstract -
The location-based searching services, users with location-aware mobile devices are able to make queries about their surroundings anywhere and at any time. To efficiently compute the location based queries which are found in any uncertain range in the entire region, and provide much more possible solutions related to that queries until the requestor gets satisfied. In many applications, including location based services, queries may not be precise. However, location knowledge is often perceived as personal information. One of the immediate issues hindering the wide acceptance of location-based applications is the lack of appropriate methodologies that offer fine grain privacy controls to a user without vastly affecting the usability of the service. There are number of privacy preserving algorithms have taken shape in the previous years, but there is almost a global need to specify individuals Privacy requirement without understanding its implications on the service quality. In this approach, the user-centric location based service architecture is proposed, where a user can observe the impact of location inaccuracy on the service accuracy before deciding the geo-coordinates to use in a query. A local search application is constructed based on this architecture and demonstrate how meaningful information can be exchanged between the user and the service provider to allow the inference of contours depicting the change in query results across a geographic area. The final outcome indicates the possibility of large default privacy regions in such applications.

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Keywords
Privacy Preserving Algorithms, User-centric location based service architecture, Local search application, Security, Privacy