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Volume & Issue no: Volume 3, Issue 12, December 2014


Verify & Decrypt multi-keyword ranked search over Encrypted data on Cloud server
Author Name:
Ms. AartiBhirud, Prof. Harish Barapatre
ABSTRACT Cloud Computing is defined as a computing machine or group of machine which as a server/s, holds all the applications and document necessary all at one place so that any user can access it from anywhere whoever has a access to that server without actually using his/her physical machine.Any individual user who has permission to access the server can use the server sprocessing power to run an application, store data, or perform any other computing task. Therefore, instead of using apersonal computer every-time to run the application, the individual can now run the application from anywhere in the world.For data privacy, data which is traverses using cloud computing need to be encrypted, which makes data utilization a very challenging task.In this paper, we evaluate and solve the challenging problem of privacy preserving multi-keyword ranked search over encrypted cloud data (MRSE). Among various multi-keyword techniques we choose the efficient similarity measure of “coordinate matching”, i.e., as many matches as possible, to capture the relevance of data documents to the search query. We further use “inner product similarity” to quantitatively evaluate such similarity measure. We first propose a basic idea for the MRSE based on secure inner product computation, and then give two significantly improved MRSE schemes to achieve various stringent privacy requirements in two different threat models. Keywords:- Cloud Computing, MRSE, Multi-keyword ranked Search, coordinate matching, inner product similarity, privacy preserving, Confidential Data.
Cite this article:
Ms. AartiBhirud, Prof. Harish Barapatre , " Verify & Decrypt multi-keyword ranked search over Encrypted data on Cloud server" , International Journal of Application or Innovation in Engineering & Management (IJAIEM) , Volume 3, Issue 12, December 2014 , pp. 192-197 , ISSN 2319 - 4847.
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