Improved Crow Search-Based Feature Selection and Ensemble Learning for IoT Intrusion Detection-Reference-Cited by-同舟云学术

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Improved Crow Search-Based Feature Selection and Ensemble Learning for IoT Intrusion Detection

Published:2024 Issue: Volume:12 Page:33218-33235
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Jayalatchumy D.¹,Ramalingam Rajakumar²^ORCID,Balakrishnan Aravind³^ORCID,Safran Mejdl⁴^ORCID,Alfarhood Sultan⁴^ORCID

Affiliation:

1. Department of Computer Science and Engineering, Perunthalaivar Kamarajar Institute of Engineering and Technology, Karaikal, India

2. Centre for Automation, School of Computer Science and Engineering, Vellore Institute of Technology, Chennai, Tamil Nadu, India

3. Department of Computer Science and Technology, Madanapalle Institute of Technology and Science, Madanapalle, Andhra Pradesh, India

4. Department of Computer Science, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia

Funder

King Saud University, Riyadh, Saudi Arabia, through the Researchers

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10458125.pdf?arnumber=10458125

Reference59 articles.

1. UIDS: a unified intrusion detection system for IoT environment

2. Cyber Security Threats Detection in Internet of Things Using Deep Learning Approach

3. Internet of Things (IoT) Cybersecurity: Literature Review and IoT Cyber Risk Management

4. A Survey on Recent Approaches in Intrusion Detection System in IoTs

5. A machine learning-based intrusion detection for detecting internet of things network attacks

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Optimizing neural networks using spider monkey optimization algorithm for intrusion detection system;Scientific Reports;2024-07-26

2. Intrusion Detection in IoT Systems Using Denoising Autoencoder;IEEE Access;2024

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