Employing PRBAC for privacy preserving data publishing
Anour F.A. Dafa-Alla, Gyoyong Sohn, Keun Ho Ryu · 2009
Issues about privacy-preserving data mining have emerged globally, but still the main problem is that non-sensitive information or unclassified data, one is able to infer sensitive information that is not supposed to be disclosed. Based on our previous paper [1], we employ PRBAC for privacy preserving data publishing (PPDP). Using an extended role based access control (PRBAC), where Sensitive objects (SOBS) component is added to the model in order to protect before publishing data and during data mining process. Access to data is determined by users' role and thereby users are allowed to access and thereby mine different sets of data according to their roles. Based on validation scenario PRBAC is flexible to be used over existing technologies to preserve individual's privacy.