| 隐私保护数据挖掘研究进展 |
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| 引用本文： | 任静涵,张保稳,陈晓桦. 隐私保护数据挖掘研究进展[J]. 信息安全与通信保密, 2008, 0(5): 77-79 |
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| 作者姓名： | 任静涵 张保稳 陈晓桦 |
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| 作者单位： | 上海交通大学信息安全工程学院,上海,200240 |
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| 基金项目： | 国防科技应用基础研究基金 |
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| 摘 要： | 作为数据挖掘（DM）一个新的分支，隐私保护数据挖掘（PPDM）技术研究变得越来越重要。论文首先对PPDM技术的原理进行分析，并从基本流程上比较了它与一般DM的异同，然后对典型PPDM技术进行总结，介绍它们在各类挖掘算法中的应用，最后指出PPDM目前的研究难点以及未来的研究方向。
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| 关 键 词： | 数据挖掘 隐私保护 |
| 文章编号： | 1009-8054(2008)05-0077-03 |
| 修稿时间： | 2007-11-08 |
Progress of Privacy Preserving Data Mining Research |
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| REN Jing-han,ZHANG Bao-wen,CHEN Xiao-hua. Progress of Privacy Preserving Data Mining Research[J]. China Information Security, 2008, 0(5): 77-79 |
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| Authors: | REN Jing-han ZHANG Bao-wen CHEN Xiao-hua |
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| Affiliation: | (Information Security Engineering School, Shanghai Jiaotong University, Shanghai 200240, China) |
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| Abstract: | As a new branch of data mining, privacy preserving data mining（PPDM） becomes more and more important. This paper first presents an insight into the principles of PPDM and marks out the difference between PPDM and normal DM in the general process. Next typical PPDM techniques are reviewed and analyzed. Moreover, the applications of these techniques in several mining algorithms are described. Finally the present problems and directions for future research are discussed. |
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| Keywords: | data mining privacy preserving |
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