Confidential and Efficient Query Service with RASP Data Perturbation in Cloud
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2015, Vol 3, Issue 4
Abstract
Todays, people groups are widely utilized cloud computing foundations and infrastructure. So the end-user can save their expense and time by utilizing query services as a part of cloud. At the same time infrequently data holder does not move to cloud, because information may be hack from the malignant user when they use in cloud if not the confidentiality data furthermore security of a query should be guaranteed. In cloud, to expand the performance and efficiency of query processing and to spare the workload of query handling, it is important to give secure query service to end-user. We propose this system is by using RASP approach to gain confidentiality and efficient range query and kNN query services for protected data in the cloud. Random Space Perturbation(RASP)is combination of many approaches such us random projection , dimensionality expansion and order preserving encryption(OPE).KNN-R algorithm is design to process range query to k-Nearest Neighbor(KNN) query and also these approaches are used to increase the working process of query by secure multidimensional range query processing. The kNN-R algorithm is intended to work with the RASP range query algorithm to process the kNN queries. We have thoroughly analyzed the attacks on information, data and queries under an absolutely characterized threat model and practical security assumptions. Broad experiments have been directed to demonstrate the focal points of this approach on security and efficiency of query processing in cloud environment.
Authors and Affiliations
Megaya Jesupillai. M, Appandairaj. A
Keywords
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