Achieving an Effective, Scalable and Privacy-Preserving Data Sharing Service In Big Data Environment

Authors

  • Ch. Hrudaya Neeharika Assistant Prof, Dept. of CSE, Malla Reddy Institute of Technology & Science. HYD
  • Y. Sunanda Assistant Prof, Dept. of CSE, Malla Reddy Institute of Technology & Science. HYD

Keywords:

Hadoop, Big Data, enterprise, defence, risk, Big Data Reference Framework, Security and Privacy, threat model

Abstract

Security and privacy issues are amplified by the volume, assortment, and speed of Big Data. The decent variety
of information sources, arrangements, and information streams, joined with the spilling idea of information obtaining
and high volume make extraordinary security risks. This paper points of interest the security challenges when
associations begin moving touchy information to a Big Data store like Hadoop. It recognizes the diverse danger models
and the security control system to address and alleviate security hazards because of the distinguished risk conditions and
utilization models. The structure sketched out in this paper is additionally intended to be distribution skeptic.

Published

2017-12-25

How to Cite

Achieving an Effective, Scalable and Privacy-Preserving Data Sharing Service In Big Data Environment. (2017). International Journal of Advance Engineering and Research Development (IJAERD), 4(12), 755-762. https://www.ijaerd.org/index.php/IJAERD/article/view/4527

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