Abstract
As the rapid growth of information technology, variants of data mining techniques have been widely proposed to min the implicit or potential information. The discovered information may, however, consist of the confidential or sensitive information, which should be hidden before it is published or shared in the public place. Privacy-preserving data mining (PPDM) has been presented to hide the sensitive itemsets, and the sanitization process is the most commonly way to disturb the original database for hiding and securing the private information. In this paper, a swarm-based approach is presented to hide the sensitive information through transaction deletion. Based on the designed approach, the designed algorithm can efficiently hide the private information compared to the state-of-the-art GA-based information.
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