IJIRST (International Journal for Innovative Research in Science & Technology)ISSN (online) : 2349-6010

 International Journal for Innovative Research in Science & Technology

Data Anonymization on MapReduce-Cloud Using Optimized TPTDS


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International Journal for Innovative Research in Science & Technology
Volume 1 Issue - 11
Year of Publication : 2015
Authors : Silpa Sivadas ; Sreekala R; Ambikadevi Amma T

BibTeX:

@article{IJIRSTV1I11162,
     title={Data Anonymization on MapReduce-Cloud Using Optimized TPTDS},
     author={Silpa Sivadas , Sreekala R and Ambikadevi Amma T},
     journal={International Journal for Innovative Research in Science & Technology},
     volume={1},
     number={11},
     pages={555--558},
     year={},
     url={http://www.ijirst.org/articles/IJIRSTV1I11162.pdf},
     publisher={IJIRST (International Journal for Innovative Research in Science & Technology)},
}

Abstract:

Data anonymization is the process of hiding sensitive or identity information whose intent is privacy protection. Cloud resources are needed to support big data storage and big data is a huge business case for moving to cloud. MapReduce can be used as an associated implementation for processing and generating large data sets. In this paper, we propose optimized two-phase data sets using the MapReduce framework on cloud. Apache Hadoop is used to implement the MapReduce libraries. This work improves the throughput as well as minimizes the delay too compared to the existing TPTDS approach.

Keywords:

Cloud, Data Anonymization, Hadoop, MapReduce, TPTDS
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