Centrosymmetry Based Data Perturbation for Distributed Privacy Preserving Clustering

摘要：

With the rapid development of the computer applications,the dimensionality and size of the data that different parties collected have been keeping increased these years.As a result,we need a method that considers not only the privacy degree and data utility but also the effectiveness.To meet such need,we propose a new method for distributed privacy preserving clustering called centrosymmetry based transformation(CST).The algorithm is designed to ensure that the perturbed data can maintain a certain privacy degree and utility while reducing the time overload of CPU operations greatly and improving the efficiency evidently when facing high-dimensionality datasets.We also carry out a series of experiments to prove that the method is feasible and efficient

关键词： privacy preserving data perturbation distributed privacy preserving clustering centrosymmetry

作者: Jie Liu Yichuan Zhao JianPei Zhang

作者单位: College of Computer Science and Technology,Harbin Engineering University Harbin,China

会议类型: 国际会议

会议名称: 2010 4th International Conference on Intelligent Information Techonlogy Application(第四届智能信息技术应用国际学术研讨会 IITA 2010)

会议地点: 秦皇岛

会议语种:英文

页码: 1-4

在线出版日期: 2010-11-05（万方平台首次上网日期，不代表论文的发表时间）