DocumentCode
2556854
Title
Protection of Sensitive Data based on Reducts in a Distributed Knowledge Discovery System
Author
Im, Seunghyun ; Ras, Zbigniew
Author_Institution
Univ. of Pittsburgh at Johnstown, Johnstown
fYear
2007
fDate
26-28 April 2007
Firstpage
762
Lastpage
766
Abstract
This paper discusses data confidentiality in a distributed knowledge discovery system (DKDS) . In particular, we provide a method that protects values of confidential attributes from being reveled by chase algorithm (Ras and Dardzinska, 2005) using reducts (Skowron and Rauszer, 1992). The method presented in this paper is intended for use in DKDS that the set of rules used by chase algorithm is not completely known in advance. Reduct is used to determine the optimal set of data to be additionally hidden.
Keywords
data mining; security of data; chase algorithm; data confidentiality; distributed knowledge discovery system; sensitive data protection; Collaboration; Communications technology; Computer science; Data mining; Inference algorithms; Information systems; Iterative algorithms; Multimedia systems; Null value; Protection;
fLanguage
English
Publisher
ieee
Conference_Titel
Multimedia and Ubiquitous Engineering, 2007. MUE '07. International Conference on
Conference_Location
Seoul
Print_ISBN
0-7695-2777-9
Type
conf
DOI
10.1109/MUE.2007.178
Filename
4197365
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