基于匿名方法的数据发布隐私泄露控制技术研究进展

Technique Advances for Anonymization-based Controlling Privacy Disclosure in Data Publishing

关键词:  数据发布  匿名化  隐私  泄露  保护  k-匿名

Key words:  data publishing  anonymization  privacy  disclosure  preservation  k-anonymity

摘要:

介绍主要的数据匿名保护模型,总结分析基于泛化和隐匿、基于聚类、基于交换和分解的数据匿名化算法的研究成果和存在的问题,指出数据发布的匿名化技术还需要在同质性攻击和背景知识攻击、动态性数据的隐私保护、个性化的隐私保护、数据发布自适应机制、面向应用的隐私保护和多属性数据集的隐私保护等几个方面做进一步的研究。

Abstract:

This paper introduces the main anonymity preservation models, reviews the research advances and analyzes the limitations of the anonymization algorithms that generalization and suppression-based,clustering-based and swapping-based. This paper also indicates that the anonymization technique of data publishing need to be further researched,such as the homogeneity attack and the background knowledge attack,the privacy preservation of dynamic data,the personalized privacy preservation,adaptive mechanism of data publication,application-oriented privacy protection,and multiple sensitive attributes dataset privacy protection.