A Novel Approach for Query Services in the Cloud using RASP Data Perturbation

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A Novel Approach for Query Services in the Cloud using RASP Data Perturbation

Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2016, Vol 4, Issue 2

Abstract

With the wide sending of open distributed computing foundations, utilizing mists to host information question administrations has turned into an engaging answer for the focal points on adaptability and cost-sparing. On the other hand, some information may be touchy that the information proprietor would not like to move to the cloud unless the information confidentiality and question security are ensured. Then again, a secured question administration ought to still give efficient inquiry handling and significantly decrease the in-house workload to completely understand the benefits of distributed computing. We propose the Scratch information irritation strategy to give secure and efficient range inquiry and kNN question administrations for ensured information in the cloud. The Scratch information annoyance system consolidates request protecting encryption, dimensionality development, irregular clamor infusion, and arbitrary projection, to give solid versatility to assaults on the irritated information and questions. It additionally protects multidimensional reaches, which permits existing indexing strategies to be connected to speedup range question handling. The kNN-R calculation is intended to work with the Scratch range inquiry calculation to prepare the kNN questions. We have painstakingly dissected the assaults on information and questions under an absolutely defined risk model and practical security suppositions. Broad tests have been led to demonstrate the benefits of this methodology on efficienc.

Authors and Affiliations

PTJ Praveen Raj, K. Narayana

Keywords

EP ID EP21581
DOI -
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