Research on the Personalized Privacy Preserving Distributed Data Mining

被引：3
作者：
Shen, Yanguang [1 ]
Shao, Hui [1 ]
Li, Yan [1 ]
机构：
[1] Hebei Univ Engn, Sch Informat Sci & Elect Engn, Handan, Peoples R China
来源：
2009 SECOND INTERNATIONAL CONFERENCE ON FUTURE INFORMATION TECHNOLOGY AND MANAGEMENT ENGINEERING, FITME 2009 | 2009年
关键词：
personalized privacy preserving; distributed data mining; decision tree classification; SMC; K-anonymity;
D O I：
10.1109/FITME.2009.115
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
In this paper we studied privacy preserving distributed data mining.The existing methods focus on a universal approach that exerts preservation in the same degree for all persons, without catering for their concrete needs. In view of this we innovatively proposed a new framework combining the Secure Multiparty Computation(SMC) with K-anonymity technology, and achieved personalized privacy preserving distributed data mining based on decision tree classification algorithm. Compared with other algorithms our methord could make a good trade-off point between privacy and accuracy, with high efficiency and low-overhead of computing and communication.
引用
收藏
页码：436 / 439
页数：4
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