Functional Encryption for Secured Big Data Analytics
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10.5120/18836-0359 |
Nilotpal Chakraborty and G K Patra. Article: Functional Encryption for Secured Big Data Analytics. International Journal of Computer Applications 107(16):19-22, December 2014. Full text available. BibTeX
@article{key:article,
author = {Nilotpal Chakraborty and G K Patra},
title = {Article: Functional Encryption for Secured Big Data Analytics},
journal = {International Journal of Computer Applications},
year = {2014},
volume = {107},
number = {16},
pages = {19-22},
month = {December},
note = {Full text available}
}
Abstract
Big Data has gained a lot of interest now a days due to the enormous scope it introduces for a better understanding of the business and decision making process for an organization. There has been a wide range of researches going on around the globe on this to make the most out of it and quite a number of technical platforms are available to perform various big data analytics. Though, Scientists and organizations have been able to develop systems that can handle the big data and perform analysis on it, the security aspects remains vastly untouched. As big data is ultimately some data that are to be stored and processed in digital format, all the data security problems are applicable to it also. In this paper, possible implementation of 'Functional encryption' has been proposed towards a secured big data analytics infrastructure.
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