A Comparative Analysis of Deep Learning Approaches in Intrusion Detection System
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9573500/9573517/09573685.pdf?arnumber=9573685
Cited by 6 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. Deep Learning-Based High Performance Intrusion Detection System for Imbalanced Datasets;2023 9th International Conference on Wireless and Telematics (ICWT);2023-07-06
2. An autoML network traffic analyzer for cyber threat detection;International Journal of Information Security;2023-05-21
3. Network Anomaly Detection System using Deep Learning with Feature Selection Through PSO;International Journal of Emerging Science and Engineering;2023-04-30
4. A Systematic and Comprehensive Survey of Recent Advances in Intrusion Detection Systems Using Machine Learning: Deep Learning, Datasets, and Attack Taxonomy;Journal of Sensors;2023-02-28
5. Performance Comparison of Machine Learning and Deep Learning Models in DDoS Attack Detection;Lecture Notes in Electrical Engineering;2023
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