Privacy Preservation in Big Data
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International Journal of Computer & Organization Trends (IJCOT) |  |
| © 2017 by IJCOT Journal | ||
| Volume - 7 Issue - 5 |
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| Year of Publication : 2017 | ||
| Authors : Vijay laxmi Sharma | ||
| DOI : 10.14445/22492593/IJCOT-V46P301 |
Citation
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.
References
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Keywords
Big data, Kaccak ,AES and Cosine similarity.