ADAPTIVE UTILITY-BASED ANONYMIZATION: AN INTELLIGENT APPROACH FOR PRIVACY PRESERVING DATA MINING

摘要

Data Anonymization is one of the globally accepted mechanisms for the protection of privacy of individuals in data publishing scenario. Normally the data anonymization impacts on the quality of data especially critical to the success of knowledge-based applications. An intelligent approach based on association mining namely, Adaptive Utility-based Anonymization (AUA) has been proposed which will preserve the privacy of the users from disclosure risk without impacting the quality of data presented for knowledge-based research and analysis.