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| Decision-Tree Model Research Based on Privacy-Preserving |
| FANG Wei-Wei1,2,YANG Bing-Ru2,YANG Jun2,ZHOU Chang-Sheng1 |
1.Computer Center,Beijing Information Science and Technology University,Beijing 100192
2.Information Engineering School,University of Science and Technology Beijing,Beijing 100083 |
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Abstract How to realize privacy-preserving data mining becomes a research hotspot in a distributed environment. A model is proposed to realize privacy-preserving decision-tree classifying when data are vertically partitioned. In this model, a privacy-preserving decision-tree is proposed, which is composed of Global-Table stored by an obvious semi-honest partner and several local decision-trees stored by different sites. By using indexed array and private data comparison protocol, decision-tree generation and classification can be realized without uncovering the original information. Theoretical analysis and experimental results demonstrate the proposed model provides good capabilities of privacies preserving, accuracy and efficiency.
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Received: 27 July 2009
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2010, Vol. 23 
