Machine Learning Classifiers for Network Intrusion Detection System: Comparative Study-Reference-Cited by-同舟云学术

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Machine Learning Classifiers for Network Intrusion Detection System: Comparative Study

Published:2021-07-14 Issue: Volume: Page:
ISSN:
Container-title:2021 International Conference on Information Technology (ICIT)
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Author:

Almomani Omar,Almaiah Mohammed Amin,Alsaaidah Adeeb,Smadi Sami,Mohammad Adel Hamdan,Althunibat Ahmad

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9491111/9491112/09491770.pdf?arnumber=9491770

Cited by 37 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. Benchmarking frameworks and comparative studies of Controller Area Network (CAN) intrusion detection systems: A review;Journal of Computer Security;2024-07-25

2. Enhanced Hybrid Intrusion Detection System with Attention Mechanism using Deep Learning;SN Computer Science;2024-05-10

3. Improved Intrusion Detection System using Machine Learning Techniques;2024 International Conference on Cognitive Robotics and Intelligent Systems (ICC - ROBINS);2024-04-17

4. Comparative Analysis of Classifiers for Cyber Attack Prediction on LUflow Dataset with Explainability;2024 IEEE 9th International Conference for Convergence in Technology (I2CT);2024-04-05

5. Detecting APT Using Machine Learning: Comparative Performance Analysis With Proposed Model;SoutheastCon 2024;2024-03-15

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