DocumentCode
3545298
Title
Research on Privacy Preserving Distributed C4. 5 Algorithm
Author
Shen, Yanguang ; Shao, Hui ; Huang, Jianzhong
Author_Institution
Sch. of Inf. Sci. & Electr. Eng., Hebei Univ. of Eng., Handan, China
fYear
2009
fDate
21-22 Nov. 2009
Firstpage
216
Lastpage
218
Abstract
This paper studied how two parties collaboratively built a decision tree on the union of their dataset without revealing privacy when dataset is vertically and horizontally distributed. We gave an algorithm of privacy preserving C4.5 which is applicable to vertically and horizontally partitioned dataset, and also gave the detailed computation method of the information gain ratio in the case of without revealing privacy. The secure scalar product protocol, the xln(x) protocol and the secure sum protocol are used in collaborative computing, which can protect privacy effectively.
Keywords
cryptographic protocols; data privacy; decision trees; groupware; collaborative computing; decision tree; horizontally partitioned dataset; information gain ratio; privacy preserving distributed C4.5 algorithm; secure scalar product protocol; secure sum protocol; vertically partitioned dataset; xln(x) protocol; Concrete; Data engineering; Data mining; Data privacy; Decision trees; Information science; Information technology; Partitioning algorithms; Protection; Protocols; C4.5 decision tree; distributed data mining; privacy preserving; secure multiparty calculation;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Information Technology Application Workshops, 2009. IITAW '09. Third International Symposium on
Conference_Location
Nanchang
Print_ISBN
978-1-4244-6420-3
Electronic_ISBN
978-1-4244-6421-0
Type
conf
DOI
10.1109/IITAW.2009.81
Filename
5419457
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