Big Data Anonymization in Cloud using k-Anonymity Algorithm using Map Reduce Framework

Authors

  • Anushree Raj  Department of M.Sc. Big Data Analytics, St Agnes Autonomous College, Mangalore, Karnataka, India
  • Rio G L D'Souza  Department of Computer Science and Engineering, St Joseph Engineering College, Mangalore, Karnataka, India

DOI:

https://doi.org//10.32628/CSEIT19516

Keywords:

Anonymization, Big Data in cloud, k-Anonymity, Map Reduce, Privacy Preserving

Abstract

Anonymization techniques are enforced to provide privacy protection for the data published on cloud. These techniques include various algorithms to generalize or suppress the data. Top Down Specification in k anonymity is the best generalization algorithm for data anonymization. As the data increases on cloud, data analysis becomes very tedious. Map reduce framework can be adapted to process on these huge amount of Big Data. We implement generalized method using Map phase and Reduce Phase for data anonymization on cloud in two different phases of Top Down Specification

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2018-12-30

Issue

Volume 5, Issue 1, January-February-2019

Section

Research Articles

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Anushree Raj, Rio G L D'Souza, " Big Data Anonymization in Cloud using k-Anonymity Algorithm using Map Reduce Framework, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 5, Issue 1, pp.50-56, January-February-2019. Available at doi : https://doi.org/10.32628/CSEIT19516