A Hybrid feature extraction method with machine learning for detecting the presence of network attacks
Author:
Affiliation:
1. PSG College Of Technology,Dept. Of CSE,Coimbatore,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10099476/10100336/10100339.pdf?arnumber=10100339
Reference22 articles.
1. Phase Transitions for One-Vs-One and One-Vs-All Linear Separability in Multiclass Gaussian Mixtures
2. Research on Intelligent Acceleration Algorithm for Big Data Mining in Communication Network Based on Support Vector Machine
3. A Double-Layered Hybrid Approach for Network Intrusion Detection System Using Combined Naive Bayes and SVM
4. Interpreting and Visualizing Performance Portability Metrics
5. A Deep Learning Approach for Network Intrusion Detection Based on NSL-KDD Dataset
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1. Hybrid wrapper feature selection method based on genetic algorithm and extreme learning machine for intrusion detection;Journal of Big Data;2024-02-01
2. Research on Network Abnormal Behavior Recognition Model Based on Parallel Decision Tree Algorithm;Proceedings of the 2023 7th International Conference on Computing and Data Analysis;2023-09-15
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