Privacy Preservation in Big Data

  IJCOT-book-cover
 
International Journal of Computer & Organization Trends  (IJCOT)          
 
© 2017 by IJCOT Journal
Volume - 7 Issue - 5
Year of Publication : 2017
AuthorsVijay laxmi Sharma
  10.14445/22492593/IJCOT-V46P301

MLA

Vijay laxmi Sharma "Privacy Preservation in Big Data", International Journal of Computer & organization Trends (IJCOT), V7(5):1-4 Sep - Oct  2017, ISSN:2249-2593, www.ijcotjournal.org. Published by Seventh Sense Research Group.

Abstract Big Data: a gigantic volume of both structured and unstructured data that it's hard to process utilizing customary database and programming methods.. Privacy preservation is one of most concerned issues in Big Data.The Proposed More Efficient and protection saving cosine similitude figuring protocol (PCSF) that can proficiently compute the cosine similitude of two vectors without unveiling the vectors to each other. SHA-3 Hash function” KACCAK” and AES Cryptographic algorithm are used that ensures the Authentication and Integrity while Processing of Data. It provides Privacy Preservation and thus be very useful for privacy-preserving in big data analytics.

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Keywords-
Big data, Kaccak ,AES and Cosine similarity.