Confidential and Efficient Query Services in the Cloud

Cloud computing infrastructures are popularly used by peoples now a day. By using cloud users can save their cost for query services. But some of the data owners are hesitate to put their data's in cloud because, sometimes the data may be hack when they use in cloud unless the confidentiality of data and secure query processing will be provided by the cloud provider. In cloud if the user can get secured query service then the efficiency of query processing will be increased and the workload of the query processing will also be saved. To provide the confidentiality and efficient query service here we proposed RASP method. RASP denotes RAndom Space Perturbation. It also combines order preserving encryption, random projection and random noise injection. In order to process the range query to kNN query here we used kNN-R algorithm. We also analyze the RASP method will secure the multidimensional range and it will increase the working process of query. advantage. We analyze the CPEL criteria for submit a query in cloud. This CPEL criteria denotes Confidentiality of data, query Privacy, Efficient query processing and Low working cost. This method also used to increase the complexity of query service. We propose the RAndom space Perturbation (RASP) method to construct the query and here we separate the query as range query and kNN query. The proposed RASP method will use the four concepts of the CPEL criteria and here the multidimensional data can be transformed with the combination of order preserving encryption, random