A Flexible Method of Privacy Preserving Clustering

被引：0

作者：

Yang, Weijia ^{[1
]}

机构：

[1] Shanghai Jiao Tong Univ, Dept Comp Sci, Shanghai 200030, Peoples R China

来源：

ICCEE 2008: PROCEEDINGS OF THE 2008 INTERNATIONAL CONFERENCE ON COMPUTER AND ELECTRICAL ENGINEERING | 2008年

关键词：

D O I：

10.1109/ICCEE.2008.160

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Privacy protection is an important issue in data processing. In this paper we present a novel clustering method for privacy preserving in homogenous data sets. By developing matrix transformation method, our method can not only protect privacy in face of collusion, but also achieves a higher level of accuracy as compared to the existing method. The importance of independent perturbation is addressed in the random matrix generation. The performance of the method including the levels of accuracy and privacy are also analyzed in detail. Experimental results further demonstrate that our method is also adaptive to large data dimensions.

引用

页码：516 / 520

页数：5

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