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：2
页码：1581-1583
出版社：TechScience Publications
摘要：Preparing a data set for analysis in data mining is a more time consuming task. For preparing a data set it requires more complex SQL quires, joining tables and aggregating columns. Existing SQL aggregations have some limitations to prepare data sets because they return one column per aggregated group. In general, significant manual efforts are required to build data sets, where a horizontal layout is required. Also many data mining applications deal with privacy for many sensitive data. Therefore we need privacy preserving algorithm for preserving sensitive data in data mining. Horizontal database aggregation is a task that involves many participating entities. However, privacy preserving during such database aggregation is a challenging task. Regular encryption cannot be used in such cases as they do not perform mathematical operations & preserve properties of encrypted data. This paper has two main approaches preparing Data set and privacy preserving in data mining. For preparing the data set we can use the case, pivot and SPJ method for preparing the horizontal aggregation and then employ a homomorphic encryption based scheme for data privacy during aggregations. Homomorphic encryption is the conversion of data into cipher text which allows specific types of computation operations to be performed on the data set and obtains encrypted result. The encrypted result is same as the result which is performed on the plain text. Although such schemes are already being used for protecting data privacy, no one has used these schemes in horizontal databases. This scheme must be modified & customized with relevant parameters and constraints for example key generation time, key generation strategy etc
