Network intrusion detection system: A systematic study of machine learning and deep learning approaches-Reference-Cited by-同舟云学术

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Network intrusion detection system: A systematic study of machine learning and deep learning approaches

Published:2020-10-16 Issue:1 Volume:32 Page:
ISSN:2161-3915
Container-title:Transactions on Emerging Telecommunications Technologies
language:en
Short-container-title:Trans Emerging Tel Tech

Author:

Ahmad Zeeshan¹²^ORCID,Shahid Khan Adnan¹,Wai Shiang Cheah¹,Abdullah Johari¹,Ahmad Farhan³⁴

Affiliation:

1. Faculty of Computer Science and Information Technology Universiti Malaysia Sarawak Sarawak Malaysia

2. Department of Electrical Engineering, College of Engineering King Khalid University Abha Kingdom of Saudi Arabia

3. Cyber Security Research Group, College of Engineering and Technology University of Derby Derby UK

4. Institute for Future Transport and Cities Coventry University Coventry UK

Publisher

Wiley

Subject

Electrical and Electronic Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ett.4150

Reference142 articles.

1. Importance of Cyber Security

2. Machine Learning Algorithms for Network Intrusion Detection

3. A survey of intrusion detection techniques

4. Towards a taxonomy of intrusion-detection systems

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2. Evolving cybersecurity frontiers: A comprehensive survey on concept drift and feature dynamics aware machine and deep learning in intrusion detection systems;Engineering Applications of Artificial Intelligence;2024-11

3. Deep clustering hierarchical latent representation for anomaly-based cyber-attack detection;Knowledge-Based Systems;2024-10

4. Batch reinforcement learning approach using recursive feature elimination for network intrusion detection;Engineering Applications of Artificial Intelligence;2024-10

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