Machine Learning Techniques for Feature Reduction in Intrusion Detection Systems: A Comparison
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Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx5/5367867/5367868/05369962.pdf?arnumber=5369962
Cited by 14 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. Multi-step attack detection in industrial networks using a hybrid deep learning architecture;Mathematical Biosciences and Engineering;2023
2. Feature Reduction Based Technique for Network Attack Detection;Proceedings in Adaptation, Learning and Optimization;2023
3. Feature encoding with autoencoder and differential evolution for network intrusion detection using machine learning;Proceedings of the Genetic and Evolutionary Computation Conference Companion;2022-07-09
4. Wk-fnn design for detection of anomalies in the computer network traffic;Facta universitatis - series: Electronics and Energetics;2022
5. An enhanced network intrusion detection system for malicious crawler detection and security event correlations in ubiquitous banking infrastructure;International Journal of Pervasive Computing and Communications;2021-09-06
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