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Research on Privacy-preserving in Distributed Mining Based on the Attribute Similarity

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2 Author(s)
Qiu Lu ; Sch. of Inf. Sci. & Eng., Guilin Univ. of Technol., Guilin, China ; Xiao-hui Cheng

It's of profound significance to preserve privacy in the distributed data mining process. Based on the NDTree's attribute similarity algorithm and combined with the HES homomorphism encryption algorithm, this paper constructs the HE-NDT which is a privacy-preserving distributed database of decision tree mining algorithm. The theory and experimental results indicates that this algorithm can achieve improvements in terms of privacy, accuracy, and efficiency.

Published in:

Computational Intelligence and Security (CIS), 2011 Seventh International Conference on

Date of Conference:

3-4 Dec. 2011