Artificial intelligence for classification and regression tree based feature selection method for network intrusion detection system in various telecommunication technologies-Reference-Cited by-同舟云学术

Artificial intelligence for classification and regression tree based feature selection method for network intrusion detection system in various telecommunication technologies

Published:2022-01-10 Issue: Volume: Page:
ISSN:0824-7935
Container-title:Computational Intelligence
language:en
Short-container-title:Computational Intelligence

Author:

Kumar Neeraj¹,Kumar Upendra²

Affiliation:

1. Computer Science & Engineering Birla Institute of Technology, Mesra Ranchi Jharkhand India

2. Department of Computer Science & Engineering Birla Institute of Technology, Mesra Ranchi Jharkhand India

Publisher

Wiley

Subject

Artificial Intelligence,Computational Mathematics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/coin.12500

Reference42 articles.

1. ThanhVN ThinhTN.An anomaly‐based network intrusion detection system using deep learning. Proceedings of the International Conference on System Science and Engineering (ICSSE); 2017:210‐214; IEEE.

2. Intrusion detection by machine learning: A review

3. A survey of feature selection techniques in intrusion detection system: a soft computing perspective, progress in computing;Varma P;Anal Netw,2018

4. A Survey and Taxonomy of Classifiers of Intrusion Detection Systems

5. A novel weighted support vector machines multiclass classifier based on differential evolution for intrusion detection systems

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