Feature Selection Using Rough Set in Intrusion Detection
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx5/4142120/4142121/04142640.pdf?arnumber=4142640
Cited by 14 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. An Adaptive Flow-based NIDS for Smart Home Networks Against Malware Behavior Using XGBoost combined with Rough Set Theory;2023 10th International Conference on Internet of Things: Systems, Management and Security (IOTSMS);2023-10-23
2. Artificial Immune System and Artificial Neural Network in Intrusion Detection System;Distributed Sensing and Intelligent Systems;2022
3. Analysis of error-based machine learning algorithms in network anomaly detection and categorization;Annals of Telecommunications;2021-03-30
4. Ensemble machine learning approach for classification of IoT devices in smart home;International Journal of Machine Learning and Cybernetics;2021-01-03
5. A Comprehensive Analysis of Accuracies of Machine Learning Algorithms for Network Intrusion Detection;Machine Learning for Networking;2020
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