Intrusion Detection using Machine Learning Techniques: An Experimental Comparison
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Publisher
IEEE
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http://xplorestaging.ieee.org/ielx7/9493266/9493423/09493543.pdf?arnumber=9493543
Cited by 13 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. Comparison of Random Forest, K-Nearest Neighbor, and Support Vector Machine Classifiers for Intrusion Detection System;2024 International Conference on Science, Engineering and Business for Driving Sustainable Development Goals (SEB4SDG);2024-04-02
2. Comparative Analysis of Machine Learning based Intrusion Detection Systems;2023 Seventh International Conference on Image Information Processing (ICIIP);2023-11-22
3. Discovering anomalies in big data: a review focused on the application of metaheuristics and machine learning techniques;Frontiers in Big Data;2023-08-17
4. A Cloud-Based Intrusion Detection System for Advanced Threat Detection and Prevention using Machine Learning Techniques;2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT);2023-07-06
5. BLoCNet: a hybrid, dataset-independent intrusion detection system using deep learning;International Journal of Information Security;2023-03-02
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