Anonymization Techniques for Protecting Privacy: A Survey

A. Pawar, Swati Ahirrao, Prathamesh P. Churi
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引用次数: 10

Abstract

Anonymization is one of fruitful privacy protection technique used in various technology fields such as data mining, cloud computing, big data to secure very sensitive data against third party. In today’s world, the value and the amount of data is increasing, hence the protection of data against all possible threats are equally necessary. This paper focuses a brief on data anonymization and differential privacy techniques. Various anonymization techniques which are researched by various researchers across various fields have limitations such as communication and computation cost overhead, accuracy of results after data Anonymization and possibility of different types of attacks. The paper discussed all these issues and their counter-measures through readings of various papers. Finally, this paper presents detailed discussion about existing anonymization techniques (Data anonymization and differential privacy), their comparative analysis by leaving a footprints of future research directions.
保护隐私的匿名化技术:调查
匿名化是一种卓有成效的隐私保护技术,应用于数据挖掘、云计算、大数据等各个技术领域,保护非常敏感的数据不受第三方侵害。在当今世界,数据的价值和数量都在增加,因此保护数据免受所有可能的威胁同样是必要的。本文重点介绍了数据匿名化和差分隐私技术。不同领域的研究人员研究的各种匿名化技术存在通信和计算开销、数据匿名化后结果的准确性以及不同类型攻击的可能性等局限性。本文通过阅读相关文献,对这些问题进行了探讨,并提出了相应的对策。最后,本文对现有的匿名化技术(数据匿名化和差异隐私化)进行了详细的讨论,并对它们进行了比较分析,并留下了未来研究方向的足迹。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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