An Efficient Approach to Privacy Preserving Association Rule Mining

Abstract

The vulnerabilities associated with large databases is increasing with the passage of time and sharing of data over a network becomes a critical issue for every organization. When we talk about data mining approaches,there has been a tremendous success. But when we see the other side of the coin, it has put the databases and its sensitive information on the verge of being modified or altered by unwanted sources. The major problem is still out in there in the middle and we need to create a balance between the data mining results with the appropriate time management to hide the data. The main focus should be on how we can keep our sensitive data private and the sensitive information could not be revealed through data mining techniques with ease. In this thesis, we focus on hiding the sensitive data with a much faster pace as compared to hiding counter algorithm.