Network Intrusion Detection System Using Principal Component Analysis Algorithm and Decision Tree Classifier-Reference-Cited by-同舟云学术

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Network Intrusion Detection System Using Principal Component Analysis Algorithm and Decision Tree Classifier

Published:2021-12 Issue: Volume: Page:
ISSN:
Container-title:2021 International Conference on Computational Science and Computational Intelligence (CSCI)
language:
Short-container-title:

Author:

Osho Oyeyemi¹,Hong Sungbum²,Kwembe Tor A.³

Affiliation:

1. Jackson State University,Department of Computational Data-Enabled Science and Engineering(CDS&E),Jackson,MS,USA,39217

2. Jackson State University,Department of Electrical & Computer Engineering and Computer Science,Jackson,MS,USA,39217

3. Jackson State University,Department of Mathematics & Statistical Sciences,Jackson,MS,USA,39217

Funder

National Science Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9798893/9798894/09799247.pdf?arnumber=9799247

Reference15 articles.

1. Intrusion Detection Using Principal Component Analysis;mechtri,2010

2. A Survey Paper on Machine Learning Approaches to Intrusion Detection;osho;IJERT,2021

3. On lines and planes of closest fit to systems of points in space;pearson;Phil Mag,1901

4. A Survey of Intrusion Detection Systems Leveraging Host Data;glass-vanderlan,2018

5. Robust Data Mining

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1. An industrial network intrusion detection algorithm based on IGWO-GRU;Cluster Computing;2024-03-16

2. Application of Machine Learning Classifiers Interfacing Google Colab and Sklearn to Intrusion Detection CSE-CIC-IDS2018 Dataset;2023 Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE);2023-07-24

3. An extended evaluation on machine learning techniques for Denial-of-Service detection in Wireless Sensor Networks;Internet of Things;2023-07

4. An Extended Evaluation on Machine Learning Techniques for Denial-of-Service Detection in Wireless Sensor Networks;SSRN Electronic Journal;2022

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