A Distributed Intelligent Intrusion Detection System based on Parallel Machine Learning and Big Data Analysis

Faten Louati, Faten Louati, Farah Ktata, Farah Ktata, Ikram Ben Amor, Ikram Ben Amor

2022

Abstract

Networking security continue to be a serious challenge for all domains because of the increasing number of attacks launched every day due to the advent of connected devices and the emergence of the Internet. Hence, Intrusion detection system comes into focus, especially with the inception of big data challenges. In this paper, we propose a distributed and parallel intrusion detection system suitable for big data environments using machine learning-based multi agent system and big data analysis.

Paper Citation

in Harvard Style

Louati F., Ktata F. and Ben Amor I. (2022). A Distributed Intelligent Intrusion Detection System based on Parallel Machine Learning and Big Data Analysis. In Proceedings of the 11th International Conference on Sensor Networks - Volume 1: SENSORNETS, ISBN 978-989-758-551-7, pages 152-157. DOI: 10.5220/0010886300003118

in Bibtex Style

@conference{sensornets22,
author={Faten Louati and Farah Ktata and Ikram Ben Amor},
title={A Distributed Intelligent Intrusion Detection System based on Parallel Machine Learning and Big Data Analysis},
booktitle={Proceedings of the 11th International Conference on Sensor Networks - Volume 1: SENSORNETS,},
year={2022},
pages={152-157},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010886300003118},
isbn={978-989-758-551-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 11th International Conference on Sensor Networks - Volume 1: SENSORNETS,
TI - A Distributed Intelligent Intrusion Detection System based on Parallel Machine Learning and Big Data Analysis
SN - 978-989-758-551-7
AU - Louati F.
AU - Ktata F.
AU - Ben Amor I.
PY - 2022
SP - 152
EP - 157
DO - 10.5220/0010886300003118