PRBAC: An Extended Role Based Access Control for Privacy Preserving Data Mining

Authors:
Anour F. A. Dafa-Alla;Eun Hee Kim;Keun Ho Ryu;Yong Jun Heo
Affiliations:
Chungbuk National University;Chungbuk National University;Chungbuk National University;Electronics and Telecommunications Researsch Institute
Venue:
Proceedings of the Fourth Annual ACIS International Conference on Computer and Information Science
Year:
2005

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Abstract

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. This paper proposes an approach to PPDM based on an extended Role based access control called Privacy preserving Data mining using an extended role based access control (PRBAC); Sensitive objects (SOBS) component is added to the model in order to privacy protecting during data mining. Users are allowed to access and thereby mine different sets of data according to their roles. Our proposed model can be used over the existing technologies. The paper goal is topreserve individualýs privacy.