Open access
Sep 2026
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.
Neeraj Tantubay, Rahul Kumar, Sandeep Wadekar et al.
· Discover Computing · 0 citations