loading...
 This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
Fourth Annual ACIS International Conference on Computer and Information Science (ICIS'05)
PRBAC: An Extended Role Based Access Control for Privacy Preserving Data Mining
Jeju Island, South Korea
July 14-July 16
ISBN: 0-7695-2296-3
Anour F. A. Dafa-Alla, Chungbuk National University
Eun Hee Kim, Chungbuk National University
Keun Ho Ryu, Chungbuk National University
Yong Jun Heo, Electronics and Telecommunications Researsch Institute
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 individual?s privacy.
Index Terms:
RBAC, Privacy preserving data mining
Citation:
Anour F. A. Dafa-Alla, Eun Hee Kim, Keun Ho Ryu, Yong Jun Heo, "PRBAC: An Extended Role Based Access Control for Privacy Preserving Data Mining," icis, pp.68-73, Fourth Annual ACIS International Conference on Computer and Information Science (ICIS'05), 2005
Usage of this product signifies your acceptance of the Terms of Use.