基于数据处理的数据挖掘隐私保护技术分析

Analysis of Data Mining Privacy Preserving Technology Based on Data Processing

随着数据挖掘技术的发展与应用,如何在得到准确的挖掘结果的同时保护隐私信息不被泄露,已经成为必须解决的问题。基于数据处理的数据挖掘隐私保护是一种有效的途径,通过采用不同的数据处理技术,出现了基于数据匿名、数据变换、数据加密、数据清洗、数据阻塞等技术的隐私保护算法。文中对基于数据处理的数据挖掘隐私保护技术进行了总结,对各类算法的基本原理、特点进行了探讨。在对已有技术和算法深入对比分析的基础上,给出了数据挖掘隐私保护算法的评价标准。

As the development and application of data mining, it is a problem which must be resolved that how to protect privacy from leaking when obtaining accurate result. Data mining privacy preserving based on data processing should be an effective way to resolve the problem. Based on different data processing technologies, various privacy preserving algorithms, such as data anonymity, data distortion, data encryption, data purification and data obstructing, have been developed. In this paper, the technologies of data mining privacy preserving based on data processing are surveyed; the mechanisms and characteristics of various algorithms are discussed. Following a comprehensive comparison and analysis of the existing technologies as well as the algorithms, the criteria of evaluating data mining privacy preserving algorithms are given.