An empirical model in intrusion detection systems using principal component analysis and deep learning models-Reference-Cited by-同舟云学术

An empirical model in intrusion detection systems using principal component analysis and deep learning models

Published:2020-06-05 Issue:3 Volume:37 Page:1111-1124
ISSN:0824-7935
Container-title:Computational Intelligence
language:en
Short-container-title:Computational Intelligence

Author:

Rajadurai Hariharan¹^ORCID,Gandhi Usha Devi¹^ORCID

Affiliation:

1. School of Information Technology and Engineering Vellore Institute of Technology Vellore Tamil nadu 632014 India

Publisher

Wiley

Subject

Artificial Intelligence,Computational Mathematics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/coin.12342

Reference26 articles.

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2. Bouzida Y. Cuppens F. Cuppens‐Boulahia N. &Gombault S.Efficient intrusion detection using principal component analysis. Paper presented at: Proceedings of the 3éme Conférence sur la Sécurité et Architectures Réseaux (SAR); June2004:381‐395; La Londe France.

3. Improving AdaBoost-based Intrusion Detection System (IDS) Performance on CIC IDS 2017 Dataset

4. A network intrusion detection system based on a Hidden Naïve Bayes multiclass classifier

5. Elkhadir Z. Chougdali K. &Benattou M.(2016). Intrusion detection system using pca and kernel pca methods. Paper presented at: Proceedings of the Mediterranean Conference on Information & Communication Technologies;2015:489‐497; Springer Cham.

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