Intrusion Detection Systems Based on Machine Learning Algorithms-Reference-Cited by-同舟云学术

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Intrusion Detection Systems Based on Machine Learning Algorithms

Published:2021-06-26 Issue: Volume: Page:
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Container-title:2021 IEEE International Conference on Automatic Control & Intelligent Systems (I2CACIS)
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Author:

Amanoul Sandy Victor,Abdulazeez Adnan Mohsin,Zeebare Diyar Qader,Ahmed Falah Y. H.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9495828/9495325/09495897.pdf?arnumber=9495897

Cited by 16 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. Intrusion Detection based on clustering with ML algorithm and LIME Insights;2024 International Conference on Integrated Circuits and Communication Systems (ICICACS);2024-02-23

2. Automatic Network Intrusion Detection System Using Machine Learning and Deep Learning;2024 IEEE International Conference on Artificial Intelligence and Mechatronics Systems (AIMS);2024-02-21

3. Hybrid AI Learning Approaches for Intrusion Detection: A Review;Studies in Systems, Decision and Control;2024

4. Trustworthy Artificial Intelligence Methods for Users’ Physical and Environmental Security: A Comprehensive Review;Applied Sciences;2023-11-06

5. Machine Learning Techniques for the Prediction of Cyber-Attacks;2023 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS);2023-11-03

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