Machine and Deep Learning Based Comparative Analysis Using Hybrid Approaches for Intrusion Detection System
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Publisher
IEEE
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http://xplorestaging.ieee.org/ielx7/9043408/9055933/09055946.pdf?arnumber=9055946
Cited by 46 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
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2. Residual Dense Optimization-Based Multi-Attention Transformer to Detect Network Intrusion against Cyber Attacks;Applied Sciences;2024-09-03
3. Hybrid Deep Learning framework-based intrusion detection system for the Internet of Things;2024 International Conference on Intelligent Systems for Cybersecurity (ISCS);2024-05-03
4. Detection of DoS Attacks Using Machine Learning Based Intrusion Detection System;2024 IEEE International Conference on Contemporary Computing and Communications (InC4);2024-03-15
5. An Effective Anomaly Detection Approach based on Hybrid Unsupervised Learning Technologies in NIDS;KSII Transactions on Internet and Information Systems;2024-02-29
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