A Simple and Robust Approach of Random Forest for Intrusion Detection System in Cyber Security-Reference-Cited by-同舟云学术

A Simple and Robust Approach of Random Forest for Intrusion Detection System in Cyber Security

Published:2022-05-06 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on IoT and Blockchain Technology (ICIBT)
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Author:

Choubisa Manish¹,Doshi Ruchi¹,Khatri Narendra²,Kant Hiran Kamal³

Affiliation:

1. Azteca University,Department of Computer Science & Engineering,Chalco,Mexico

2. Manipal Institute of Technology,Department of Mechatronics Engineering,Manipal,India

3. Sir Padampat Singhania University,Department of Computer Science & Engineering,Udaipur,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9807683/9807701/09807766.pdf?arnumber=9807766

Reference20 articles.

1. A Hybrid Intelligent Approach for Network Intrusion Detection

2. Feature Selection Based Hybrid Anomaly Intrusion Detection System Using K Means and RBF Kernel Function

3. Evaluating Computer Intrusion Detection Systems

4. Machine Learning for Classification analysis of Intrusion Detection on NSL-KDD Dataset;masoodi;Turkish Journal of Computer and Mathematics Education (TURCOMAT),2021

5. Intrusion Detection using Artificial Neural Network

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