Mitigating cyber threats through integration of feature selection and stacking ensemble learning: the LGBM and random forest intrusion detection perspective

Author:

Mishra Amit KumarORCID,Paliwal Shweta

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Software

Cited by 26 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. A hierarchical hybrid intrusion detection model for industrial internet of things;Peer-to-Peer Networking and Applications;2024-07-18

2. A deep learning-based novel hybrid CNN-LSTM architecture for efficient detection of threats in the IoT ecosystem;Ain Shams Engineering Journal;2024-07

3. Rapid detection method for insulation performance of vacuum glass based on ensemble learning;Engineering Applications of Artificial Intelligence;2024-07

4. Intrusion Detection in SDN Using Ensemble Learning Technique;2024 International Conference on Smart Systems for Electrical, Electronics, Communication and Computer Engineering (ICSSEECC);2024-06-28

5. NHAPMAD: Novel hybrid approaches for privacy‐preserved multiple attacks detection;Concurrency and Computation: Practice and Experience;2024-05-22

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