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Reseach Article

Big Data Privacy Challenges and Techniques

Published on September 2016 by Nitin Kumar Agrawal, Aprna Tripathi
National Conference on Advances in Computing Applications
Foundation of Computer Science USA
NCACA2016 - Number 1
September 2016
Authors: Nitin Kumar Agrawal, Aprna Tripathi
349011c6-7e50-41dc-87cf-873f71ed1b88

Nitin Kumar Agrawal, Aprna Tripathi . Big Data Privacy Challenges and Techniques. National Conference on Advances in Computing Applications. NCACA2016, 1 (September 2016), 17-21.

@article{
author = { Nitin Kumar Agrawal, Aprna Tripathi },
title = { Big Data Privacy Challenges and Techniques },
journal = { National Conference on Advances in Computing Applications },
issue_date = { September 2016 },
volume = { NCACA2016 },
number = { 1 },
month = { September },
year = { 2016 },
issn = 0975-8887,
pages = { 17-21 },
numpages = 5,
url = { /proceedings/ncaca2016/number1/26168-1037/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Advances in Computing Applications
%A Nitin Kumar Agrawal
%A Aprna Tripathi
%T Big Data Privacy Challenges and Techniques
%J National Conference on Advances in Computing Applications
%@ 0975-8887
%V NCACA2016
%N 1
%P 17-21
%D 2016
%I International Journal of Computer Applications
Abstract

Big Data deals with a diverse and vary large set of data that includes images, video, audio, structured, unstructured as well as semistructured data. Big Data is getting bigger day by day because of voluminous amount of data that is being collected, processed and stored. It has created new challenges to preserve privacy and hence we have many privacy challenges and privacy techniques to deal with in Big Data era. There is always a potential risk to privacy in Big Data and as data is everywhere, privacy risk moves with data all the way. There are privacy requirements in Big Data and these needs to be handled very carefully otherwise risk associated with it will definitely increase.

References
  1. Big Data: The End of Privacy or a New Beginning?Ira S. Rubinstein*, October 2012
  2. www. privacyinternnational. org
  3. www. craigbellamy. net
  4. Randomization in Privacy Preserving Data Mining,Alexandre Evfimievski, Cornell University Ithaca, NY14853, USA
  5. Big Data: New Opportunities and New challenges, K. Michael ; Univ. of Wollongong, Wollongong, NSW,Australia ; K. W. Miller, June 2013
  6. An Approach for preserving Privacy in Data Mining, TKachwala, S Parmar, IJARCSSE,2014
  7. Security and Privacy of Big Data, Sithu D. Sudarsan , Raoul P. Jetley,, Srini Ramaswamy, June 2015
  8. A Precautionary Approach to Big Data Privacy,Arvind Narayanan,Joanna Huey, Edward W. Felten,2016
  9. Privacy and Big Data, Masood Mortazavi and Khaled
  10. "Data Mining for Big Data: A Review, Thakur, Bharti,and Manish Mann, 2014
Index Terms

Computer Science
Information Sciences

Keywords

Big Data Structured Unstructured And Semi Structured Data Privacy Challenges Privacy Techniques.