INFORMATION PRIVACY & SECURITY IN DATA MINING

Abstract

The rapid use of data mining technologies brings threat to the information security. For data processing we are using the
traditional data mining algorithms, but use of traditional algorithms violate the privacy of sensitive data. To overcome on such
issue, needs to modify the data in such way that it will allow extracting the knowledge discovery from the data mining process,
and the result will highlight the goal of the data mining process & unwanted disclosure of sensitive data will be prohibited. How
to protect sensitive data from the threats, had given rise to a new research field, known as Privacy Preserving Data Mining
(PPDM). PPDM focus on how to reduce the privacy risk in Data Processing, Data Transformation, Data Mining, and Pattern
Evaluation & Pattern Presentation. PPDM approaches can investigate different users involved in data mining process namely, data
provider, data collector, data miner, and decision maker. For each type of user, we focus on his privacy and how to protect
sensitive information.