期刊名称：Indian Journal of Computer Science and Engineering
印刷版ISSN：2231-3850
电子版ISSN：0976-5166
出版年度：2017
卷号：8
期号：4
页码：542-547
出版社：Engg Journals Publications
摘要：Data mining, because of its broad spectrum of applications, is a popular research area. Due tothe increasing amount of data in the database, there is a need to transform such data into usefulinformation. Data mining techniques can transform data into knowledge, but mining process could leadsto leakage of private information about individuals. Therefore, to address the privacy issues related tomining process, a new technique known as Privacy Preserving Data Mining (PPDM) is gainingacceptance. PPDM refers to the process of examining the data mining algorithms for the security ofsensitive information. In the present study data-mining was performed on the financialdataset to make managerial decision making process better and secure. In this studyan attempt was made to tackle principle security issues by proposing a secure modelusing fuzzy logic and cryptography.
关键词：Cryptography; Financial database; Data mining; Fuzzy Logic; Privacy; Sensitive data.
