A Multi-Strategy Adaptive Hybrid PSO–HHO–DE Framework with Dynamic Threshold Learning for Cross-Dataset Intrusion Detection
Machine-learning-based intrusion detection systems can be affected by redundant and irrelevant network traffic features, which increase the dimensionality of the input space and can affect detection performance and computational efficiency. Feature selection therefore plays an important role in identifying compact and...