2nd European International Conference on Industrial Engineering and Operations Management

A Novel Evolutionary Model for Improving Big Data Security

ibtissame kandrouch
Publisher: IEOM Society International
0 Paper Citations
Track: Big Data and Analytics

Big Data security is a critical mission which aims to keep the data and the various treatments made, safe from any attack attempt, especially in front of the number of attacks and vulnerabilities which increases exponentially.Several algorithmic solutions are put in place in order to reinforce the security of this massive data (in all these states), such as encryption, authorization, intrusion detection, and other techniques inspired by genetics. Indeed, an evolutionary method such as genetic algorithms is set up to increase the level of robustness and variation of the processed data.This paper gives an overview of some modern cryptography security algorithms, and other evolutionary genetic algorithms paramount in data security. He presents comparative and analytical studies of these algorithms for proof the effectiveness of one compared to others. To finally present as a proposal an evolutionary model inspired by the immune system of the human body, given its ability to defend against viruses and any unexpected attack, which will be intended for big data during their parallel processing in real time in the MapReduce part of the management system, Hadoop. 

Published in: 2nd European International Conference on Industrial Engineering and Operations Management, Paris, France

Publisher: IEOM Society International
Date of Conference: July 26-27, 2018

ISBN: 978-1-5323-5945-3
ISSN/E-ISSN: 2169-8767