ARMBoost+: Empowering stacking, ensemble, and boosting models for network intrusion detection with dynamic rule repository

As network security threats become increasingly complex, the need for efficient and effective network intrusion detection systems (NIDS) is more important than ever. Machine learning (ML) has emerged as a promising solution for NIDS due to its ability to analyze large volumes of network traffic data...

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