ALRN-RCS: Advanced Approach to Network Intrusion Detection Using Attention Long-Term Recurrent Networks and Chaotic Optimization-Reference-Cited by-同舟云学术

ALRN-RCS: Advanced Approach to Network Intrusion Detection Using Attention Long-Term Recurrent Networks and Chaotic Optimization

Published:2024-07-22 Issue: Volume: Page:1-12
ISSN:0377-2063
Container-title:IETE Journal of Research
language:en
Short-container-title:IETE Journal of Research

Author:

N P Ponnuviji¹,E Nirmala²,Fernandez F Mary Harin³,K Anitha⁴

Affiliation:

1. Department of Computer Science and Engineering, R.M.K. College of Engineering and Technology, Puduvoyal, Tamil Nadu, India

2. School of Computing Science and Engineering, VIT-Bhopal University, Kotrikalan, Madhya Pradesh, India

3. Department of Computer Science and Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Tamil Nadu, India

4. Department of Computing Technologies, School of Computing, Faculty of Engineering and Technology, SRM Institute of Science and Technology, Chennai, Tamil Nadu, India

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/03772063.2024.2370949

Reference41 articles.

1. Network intrusion detection based on novel feature selection model and various recurrent neural networks;Le T. T. H.;Applied Sciences,2019

2. Features Dimensionality Reduction Approaches for Machine Learning Based Network Intrusion Detection

3. Towards a Reliable Comparison and Evaluation of Network Intrusion Detection Systems Based on Machine Learning Approaches

4. Enhancing Intrusion Detection Systems for IoT and Cloud Environments Using a Growth Optimizer Algorithm and Conventional Neural Networks;Fatani A.;Sensors.,2023

5. Towards an intelligent intrusion detection system to detect malicious activities in cloud computing;Attou H.;Applied Sciences,2023