Machine learning classification model for Network based Intrusion Detection System
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Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/7847254/7856645/07856705.pdf?arnumber=7856705
Cited by 26 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. Performing Multiclass Classification on UNSW-NB15 Dataset by Applying Machine Learning Approach on Intrusion Detection System;Data-Intensive Research;2024
2. Improved LSTM-Based Anomaly Detection Model with Cybertwin Deep Learning to Detect Cutting-Edge Cybersecurity Attacks;HUM-CENT COMPUT INFO;2023
3. An Advanced Feature Selection Approach to Improve Intrusion Detection System using Machine Learning;2023 7th International Conference on Electronics, Communication and Aerospace Technology (ICECA);2023-11-22
4. A Network Intrusion Detection Framework on Sparse Deep Denoising Autoencoder for Dimensionality Reduction;2023-08-25
5. 3D-IDS: Doubly Disentangled Dynamic Intrusion Detection;Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2023-08-04
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