Preserving Data Confidentiality and Query Privacy Using KNNR Approach

Abstract

Cloud computing is one of the famous and well known technique that processes the data query efficiently. Since it is maintaining huge amount of resources, its privacy and security is an issue. Cloud service providers are not trust worthy, so data is to be s ecured. Whenever the data is sent to the cloud, it is encrypted because to protect the sensitive data such that query privacy and data confidentiality is assured. Cloud computing reduces the in-house resources .This doesn't mean processing of the query should be slow. To ensure query privacy and data confidentiality RASP approach is designed. The RASP Perturbation technique combines Order preserving Encryption, Dimensionality Expansion, random noise injection , random projection to provide strong safety to the perturbed data and query. RASP make use of the kNN algorithm to process the query efficiently. kNN approach use the minimum square range to process the query. It transfers data to the multidimensional space where it uses indexing approach to process the minimum square range points. __________________________________________________*****_________________________________________________ 1.IntroductionCloud computing refers to the service which is accessed over the internet. It is based on pay-as-you-go manner. The goal of cloud computing is to provide high performance computing or super computing power with the cloud computing technologies, large pool of resources can be connected using public or private network. Cloud is maintaining huge amount of resources hence security and privacy are two main concepts which is to be preserved [15]. There are three different types of cloud computing.Infrastructure as a service where hardware is accessed over the internet such as server or storage.Software as a service where complete application is running on other's computer can be accessed such as web based email and Google document is well known exam which offer many online application.Platform as a service means that the application can be developed using web based tools so they run on system software and hardware. Force.com and the Google map application are examples.Parallel computing of query service in the cloud is very popular because of the advantages of scalability and cost saving. Using the cloud infrastructure, the cloud service providers/ owners can conveniently scale -up and down and pay for what they use. Cloud service providers are not trust worthy and hence the data confidentiality and query privacy should be preserved .The new approach should be proposed to preserve the privacy of data resources. To enjoy the benefits of the cloud computing, it is not meaningful to provide slow query services, because of security and privacy issues. The main purpose of cloud is to reduce the significant amount of cloud resources [4]. There exist some co-ordination between the data privacy, query privacy, use of the cloud. This is referred as DQEL criteria: Data privacy, query privacy , efficient query processing and low processing cost [9]. Definition of RA...