Adoption to Big Data Analytics: Privacy Issues and Integration of PPDM to overcome it

Authors

  • Darshan B. Patel

Abstract

Abstract
In this emerging era of technology, the amount of data being generated is massive. To deal with such a huge amount of data, development of big data analytics to extract valuable information for making marketing decision is gaining popularity. This data can be either structured, semi-structured or unstructured, so it is very difficult to process such rapidly growing and changing data with the conventional database techniques. As big data is gaining popularity in the industries, it also represents risk for the declaration of sensitive information of the individual because the analytics tools collect the data for processing from varied sources. This leads to many security and privacy violations. This paper mainly focuses on the evolution of big data analytics and various frameworks used for the extracting knowledge from the datasets. It also highlights factors breaching the privacy of the data and possible solution to it. It also shows the integration of big data and PPDM (Privacy Preserving data mining) to overcome the breach of the identity of an individual.

Keywords: PPDM, Big data, Big Data Framework, PPDM Techniques

Cite this Article
Patel Darshan B. Adoption to Big Data Analytics: Privacy Issues and Integration of PPDM to Overcome it. Journal of Computer Technology & Applications. 2017; 8(2): 33–38p.

Downloads

Published

2019-07-16

Issue

Vol. 8 No. 2 (2017)

Section

Articles

License

Declaration and Copyright Transfer Form

(to be completed by authors)

I/ We, the undersigned author(s) of the submitted manuscript, hereby declare, that the above manuscript which is submitted for publication in the STM Journals(s), is not published already in part or whole (except in the form of abstract) in any journal or magazine for private or public circulation, and, is not under consideration of publication elsewhere.

  • I/We will not withdraw the manuscript after 1 week of submission as I have read the Author Guidelines and will adhere to the guidelines.
  • I/We Author(s ) have niether given nor will give this manuscript elsewhere for publishing after submitting in STM Journal(s).
  • I/ We have read the original version of the manuscript and am/ are responsible for the thought contents embodied in it. The work dealt in the manuscript is my/ our own, and my/ our individual contribution to this work is significant enough to qualify for authorship.
  •  I/We also agree to the authorship of the article in the following order:

Author’s name                                    

 

1. ________________

2. ________________

3. ________________

4. ________________

 

We  Author(s) tick this box and would request you to consider it as our signature as we agree to the terms of this Copyright Notice, which will apply to this submission if and when it is published by this journal.