2018Unpublished venueRequires access

Anonymization Techniques for Protecting Privacy: A Survey

Ambika Pawar, Swati N. Ahirrao, Prathamesh Padmakar Churi

Open publisher page 30 citations

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.

About this research paper

What this paper is about

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.

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OpenAlex reports 30 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available 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.

Key concepts: Differential privacy, Computer science, Data anonymization, Overhead (engineering), Cloud computing, Privacy protection, Computer security, Information privacy

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