Effect of Class Imbalance on the Performance of Machine Learning-based Network Intrusion Detection
Author:
Publisher
Totem Publisher, Inc.
Subject
Safety, Risk, Reliability and Quality
Cited by 7 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. A Comparative Analysis of the TDCGAN Model for Data Balancing and Intrusion Detection;Signals;2024-09-12
2. A unified Foot and Mouth Disease dataset for Uganda: evaluating machine learning predictive performance degradation under varying distributions;Frontiers in Artificial Intelligence;2024-07-31
3. Predicting neural network confidence using high-level feature distance;Information and Software Technology;2023-07
4. ASQ-FastBM3D: An Adaptive Denoising Framework for Defending Adversarial Attacks in Machine Learning Enabled Systems;IEEE Transactions on Reliability;2023-03
5. Learning From Few Cyber-Attacks: Addressing the Class Imbalance Problem in Machine Learning-Based Intrusion Detection in Software-Defined Networking;IEEE Access;2023
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