Intrusion Detection using HRO with Ensemble Learning Models and Comparison-Reference-Cited by-同舟云学术

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Intrusion Detection using HRO with Ensemble Learning Models and Comparison

Published:2023-12-07 Issue: Volume:ICWAC Page:1-5
ISSN:
Container-title:2023 1st International Conference on Optimization Techniques for Learning (ICOTL)
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Author:

Pydala Bhasha¹,Reddy Noti Pandu Ranga²,Rama Mohan C.³,Sandhya E.⁴,Jyothsna V.¹,Khaja Baseer K.¹

Affiliation:

1. Data Science Mohan Babu University,Tirupati,India

2. Narayana Engineering College Nellore,Department of CSE,Nellore,India

3. Narayana Engineering College Nellore,CSE,Nellore,India

4. Madanapalle Institute of Technology & Science,Department of CSE(Artificial Intelligence),India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10434936/10434955/10435237.pdf?arnumber=10435237

Reference17 articles.

1. Towards feature subset selection in intrusion detection

2. An effective intrusion detection framework based on SVM with feature augmentation

3. Extreme Learning Machine for Regression and Multiclass Classification

4. Improved K-means algorithm based on hybrid rice optimization algorithm

5. Random Forest Modeling for Network Intrusion Detection System

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