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A Survey on Multi-Agent Based Collaborative Intrusion Detection Systems Cover

A Survey on Multi-Agent Based Collaborative Intrusion Detection Systems

Journal of Artificial Intelligence and Soft Computing Research
Volume 11 (2021): Issue 2 (April 2021)
By: Nassima Bougueroua,  Smaine Mazouzi,  Mohamed Belaoued,  Noureddine Seddari,  Abdelouahid Derhab and  Abdelghani Bouras  
Open Access
|Jan 2021

Authors

Nassima Bougueroua

bouguerouanassima@gmail.com

Department of Computer Science, University of Skikda, Algeria

Smaine Mazouzi

Department of Computer Science, University of Skikda, Algeria

Mohamed Belaoued

Department of Computer Science, University of Skikda, Algeria

Noureddine Seddari

Department of Computer Science, University of Skikda, Algeria

Abdelouahid Derhab

Center of Excellence in Information Assurance (COEIA), King Saud University, Riyadh, Saudi Arabia

Abdelghani Bouras

Department of Industrial Engineering, Alfaisal University, Riyadh, Saudi Arabia
DOI: https://doi.org/10.2478/jaiscr-2021-0008
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Language: English
Page range: 111 - 142
Submitted on: Jun 23, 2020
Accepted on: Oct 6, 2020
Published on: Jan 29, 2021
Published by: SAN University
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
IDS,
CIDS,
MAS,
Artificial Intelligence
Related subjects:
Computer sciences,
Databases and data mining,
Artificial intelligence

© 2021 Nassima Bougueroua, Smaine Mazouzi, Mohamed Belaoued, Noureddine Seddari, Abdelouahid Derhab, Abdelghani Bouras, published by SAN University
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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