An improved binary manta ray foraging optimization algorithm based feature selection and random forest classifier for network intrusion detection-Reference-Cited by-同舟云学术

An improved binary manta ray foraging optimization algorithm based feature selection and random forest classifier for network intrusion detection

Published:2022-11 Issue: Volume:16 Page:200114
ISSN:2667-3053
Container-title:Intelligent Systems with Applications
language:en
Short-container-title:Intelligent Systems with Applications

Author:

Hassan Ibrahim Hayatu,Abdullahi Mohammed^ORCID,Aliyu Mansur Masama,Yusuf Sahabi Ali,Abdulrahim Abdulrazaq

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,Computer Vision and Pattern Recognition,Signal Processing,Computer Science (miscellaneous)

Reference57 articles.

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3. Intrusion Detection System for Malicious Traffic Using Evolutionary Search Algorithm;Al-Saqqa;Recent Advances in Computer Science and Communications,2021

4. Improving intrusion detection system by developing feature selection model based on Firefly algorithm and support vector machine;Al-Yaseen;IAENG Internal Journal of Computer Science,2019

5. Intrusion detection based on a modified grey worlf optimization;Alzubi;Neural Computing Apllication,2019

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