BUILDING CONFIDENTIAL AND EFFICIENT QUERY SERVICES IN THE CLOUD WITH RASP DATA PERTURBATION

Reena D K

Abstract: With the advent of Cloud computing technology, the cost of computation, application hosting, content storage and delivery is reduced significantly. So now-a-days at an increased speed cloud computing infrastructures are used by the people. Security and Privacy is the biggest concern about cloud computing, since data management and infrastructure management in cloud is provided by third-party, it is always a risk to handover the sensitive information to such providers until and unless data confidentiality and secure query processing is guaranteed by the cloud service provider. To fully realize the benefits of cloud computing the workload must be reduced and efficient query processing must be provided. Therefore, to provide confidential and efficient query service RASP method is proposed, where RASP denotes Random Space Perturbation. Data Perturbation technique allows users to ascertain key summary information about the data that is not distorted and does not lead to a security breach. Exclusive security features are provided by the RASP. The RASP approach satisfies the data Confidentiality, query Privacy, Efficient query processing and Low working cost (CPEL) criteria for hosting queries in the cloud. KNN-R algorithm is used here to process the Range query to the kNN query. Users have been authorized by using the randomly generated product key value provided by the admin after successful registration by the user thus maintaining confidentiality. User queries are retrieved within a very short period of time i.e., less than a second. Outsourcing the management of the data related to organizations and individuals to a service provider are enabled by cloud computing services in order to save on the hardware costs and reducing maintenance cost. Also analyzed how the RASP method will provide confidentiality of data and will increase the working process of query

Keywords: query services in the cloud, low in-house processing, RASP perturbation, Range query, KNN query.

DOI: https://doi.org/10.15623/ijret.2015.0404035