期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2017
卷号：5
期号：9
页码：15297
DOI：10.15680/IJIRCCE.2017.0509079
出版社：S&S Publications
摘要：Data mining focuses on generating a useful knowledge from the data sources rather than a mere dataextracting technology. Among various forms of data mining tasks, data classification is a major task for a user whowants to classify a record at hand based on the database available in the cloud. The existing privacy techniques forprivacy preservation in data mining are perturbation method and Secure Multiparty Computation (SMC). But thesemethods are effective for the data that are not encrypted. Hence it is necessary to introduce new protocols for theclassification problem in data mining for the database stored in cloud in encrypted form. We proposed the input recordquery classification problem of data mining task for accessing the database in encrypted form in the cloud is solvedusing K-Nearest Neighbours (K-NN) Classification method. A new privacy preserving protocol based on K-NNclassification method is used for protecting the privacy preservation and confidentiality of the data in the database,input query and data access.
