期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2014
卷号：5
期号：4
页码：4864-4869
出版社：TechScience Publications
摘要：Data mining or knowledge discovery is the process of analysing data from different perspectives and summarizing it into useful information. The summarized information can be utilized to increase revenue, cut costs, or both in many organizations. One of the novel research areas in data mining is to develop the techniques which can have the feature to comprise data mining as well as privacy preservation. Various techniques of privacy preservation are used to guard the privacy of an individual. Additive Randomization is one of privacy preservation technique which protects the privacy by modifying the original sensitive data and releasing the modified information to the user for analysis purpose. The original sensitive information is modified in such a manner that the statistical properties of the database do not change. In this paper we focus on additive randomization process and reconstruction procedure to approximate the original information from perturbed data. We also give the analysis which indicates the limit till which the additive perturbation can be performed without any problem and also reveals satisfactory modified data for analysis purpose or various data mining applications.
