Cooperative Classification under the Protection of PrivateInformation
Year: 2009
Journal of Information and Computing Science, Vol. 4 (2009), Iss. 4 : pp. 283–289
Abstract
TAbstract.T The private information of enterprises is a bottleneck to enterprises’ cooperation. Enterprises often analyze cooperatively their consumers’ information, but laws and their image require enterprises to protect consumers’ information. To resolve the conflict between information-sharing and information- protecting, a privacy preserving classification method with distributed private information is proposed. We uses the Warner model to hide the true private enumerative data of enterprises’ consumers information. Then we introduces how to get the exact classifying result on the disturbed data and analyze the method’s accuracy and privacy in theory. In the end, the method’s feasibility and validity is proved by experiments.
Journal Article Details
Publisher Name: Global Science Press
Language: English
DOI: https://doi.org/2024-JICS-22737
Journal of Information and Computing Science, Vol. 4 (2009), Iss. 4 : pp. 283–289
Published online: 2009-01
AMS Subject Headings:
Copyright: COPYRIGHT: © Global Science Press
Pages: 7