Intrusion Detection System Framework Using Machine Learning-Reference-Cited by-同舟云学术

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Intrusion Detection System Framework Using Machine Learning

Published:2021-09-02 Issue: Volume: Page:
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Container-title:2021 Third International Conference on Inventive Research in Computing Applications (ICIRCA)
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Author:

Yedukondalu G.,Bindu G. Hima,Pavan J.,Venkatesh G.,SaiTeja A.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9544088/9544092/09544717.pdf?arnumber=9544717

Cited by 18 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. Voting Ensemble: Performance Improvement for Intrusion Detection System;2024 3rd International Conference on Artificial Intelligence For Internet of Things (AIIoT);2024-05-03

2. A Machine Learning Approach With PSO for Intrusion Detection;2024 International Conference on Intelligent Systems for Cybersecurity (ISCS);2024-05-03

3. Ensemble random forest and deep convolutional neural networks in detecting and classifying the multiple intrusions from near real‐time cloud datasets;SECURITY AND PRIVACY;2024-04-25

4. Enhancing Intrusion Detection using Supervised Machine Learning Algorithms;2024 11th International Conference on Computing for Sustainable Global Development (INDIACom);2024-02-28

5. B-DT Model: A Derivative Ensemble Method to Improve Performance of Intrusion Detection System;Journal of Advances in Information Technology;2024

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