期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2012
卷号：3
期号：1
页码：2978-2981
出版社：TechScience Publications
摘要：With the rapid development in technology organizations are able collect and store huge amount of business relevant information. Today the companies wish to convert such huge data into quality information. Organizations are looking forward for decision support system where the data collected from heterogeneous sources can be converted into digitized form and stored in a permanent storage space for business analysis purpose. Data warehouse provides the architecture to serve as a single integrated source of data which is different from operational database and stores current and historical records coalesced from multiple transactional systems. OLAP operation on Data warehouse database allows the client to analyze the data interactively and perform other business intelligence functions. The data in the data warehouse is collected from various sources like insurance companies, healthcare systems also [1] contains sensitive information, OLAP operation on such databases may reveal the information which is private to an individual. In this paper we discussed about the privacy violation of sensitive information by malicious user with valid OLAP queries. We proposed a framework to identify the privacy violation of sensitive information during OLAP operation and modify the query results with suitable privacy preservation technique.
