Intrusion Detection using Machine Learning Techniques: An Experimental Comparison
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9493266/9493423/09493543.pdf?arnumber=9493543
Cited by 11 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. Discovering anomalies in big data: a review focused on the application of metaheuristics and machine learning techniques;Frontiers in Big Data;2023-08-17
2. 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
3. BLoCNet: a hybrid, dataset-independent intrusion detection system using deep learning;International Journal of Information Security;2023-03-02
4. Distributed Deep Neural-Network-Based Middleware for Cyber-Attacks Detection in Smart IoT Ecosystem: A Novel Framework and Performance Evaluation Approach;Electronics;2023-01-06
5. MAGRU-IDS: A Multi-Head Attention-Based Gated Recurrent Unit for Intrusion Detection in IIoT Networks;IEEE Access;2023
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