Preserving Privacy in Multi Provider Systems with Sensitive Data Hiding: A Framework

Nanna Babu Palla, Dr. A. Vinaya Babu

Abstract: Data mining and information provider systems are widely used for knowledge retrieval and information excavation applications. Data sharing between organizations endorse in business analysis, data dissemination and strategy development. The gathered micro data may contain person-specific features. If the data published without keeping privacy protection, its an infringement of human rights under law. Earlier works covers on protecting privacy in centralized and distributed systems with solo occurrences of entries related to individuals. The proposed approach considers multiple entries of individuals at different sources and ensures protecting the pricy by enforcing Collaborative Publishing Scheme.

Keywords: mining, collaborative publishing scheme, multi provider systems, privacy, quasi-attribute