2019International Journal of Scientific Research in Science Engineering and TechnologyOpen access

A Study on Models and Techniques of Anonymization in Data Publishing

Shipra Sharma, Naveen Kumar Choudhary, Kalpana Jain

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Abstract

In the era where world runs online the storing and publishing of data online has also increased to a great extent. In this era a large amount of information is collected and published to a network which is publically available. With the exposure of data comes the risk of information leakage of an individual while publishing the data online. Hence for the same we need a security system for preserving the privacy of individual and here the concept of preserving privacy in data publishing came into existence. To achieve this privacy different privacy models and techniques have been proposed which gives different levels of resistance against different attacks by adversaries. In this paper we will discuss about these models and techniques and have a comparative study among them.

About this research paper

What this paper is about

In the era where world runs online the storing and publishing of data online has also increased to a great extent. In this era a large amount of information is collected and published to a network which is publically available. With the exposure of data comes the risk of information leakage of an individual while publishing the data online. Hence for the same we need a security system for preserving the privacy of individual and here the concept of preserving privacy in data publishing came into existence. To achieve this privacy different privacy models and techniques have been proposed which gives different levels of resistance against different attacks by adversaries. In this paper we will discuss about these models and techniques and have a comparative study among them.

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OpenAlex reports 4 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

In the era where world runs online the storing and publishing of data online has also increased to a great extent. In this era a large amount of information is collected and published to a network which is publically available. With the exposure of data comes the risk of information leakage of an individual while publishing the data online. Hence for the same we need a security system for preserving the privacy of individual and here the concept of preserving privacy in data publishing came into existence. To achieve this privacy different privacy models and techniques have been proposed which gives different levels of resistance against different attacks by adversaries. In this paper we will discuss about these models and techniques and have a comparative study among them.

Key concepts: Publishing, Data publishing, Computer science, Data anonymization, Internet privacy, Information privacy, Data science, Computer security

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