Ensembling PCA-based Feature Selection with Random Tree Classifier for Intrusion Detection on IoT Network-Reference-Cited by-同舟云学术

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Ensembling PCA-based Feature Selection with Random Tree Classifier for Intrusion Detection on IoT Network

Published:2021-10-20 Issue: Volume: Page:
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Container-title:2021 8th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)
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Author:

Alsharif Nizar

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9624200/9624209/09624298.pdf?arnumber=9624298

Cited by 3 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. Securing IoT networks in cloud computing environments: a real-time IDS;The Journal of Supercomputing;2024-03-20

2. Feature engineering based performance analysis of ML and DL algorithms for Botnet attack detection in IoMT;International Journal of System Assurance Engineering and Management;2023-03

3. Machine Learning Techniques for Chronic Kidney Disease Risk Prediction;Big Data and Cognitive Computing;2022-09-14

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