Hybrid metaheuristic-optimized deep learning framework for intelligent cyber intrusion detection
This study proposes a hybrid intrusion detection framework that integrates a feedforward Multi-Layer Perceptron (MLP) classifier with the Harris Hawks Optimization (HHO) algorithm, which improves the convergence, generalization capability, and overall detection performance of the proposed MLP classifier.