Big Data Anonymization in Cloud using k-Anonymity Algorithm using Map Reduce Framework-Reference-Cited by-同舟云学术

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

Published:2019-01-01 Issue: Volume: Page:50-56
ISSN:2456-3307
Container-title:International Journal of Scientific Research in Computer Science, Engineering and Information Technology
language:en
Short-container-title:IJSRCSEIT

Author:

Raj Anushree¹,G L D'Souza Rio²

Affiliation:

1. Department of M.Sc. Big Data Analytics, St Agnes Autonomous College, Mangalore, Karnataka, India

2. Department of Computer Science and Engineering, St Joseph Engineering College, Mangalore, Karnataka, India

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.

Publisher

Technoscience Academy

Subject

General Medicine

Link

http://ijsrcseit.com/paper/CSEIT19516.pdf

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