GDEGWO: Enhancing grey wolf optimization with gradient descent and dynamic balance factors for optimized exploration-exploitation in network intrusion detection

Network intrusion detection remains a critical cybersecurity challenge, as existing metaheuristic optimizers suffer from premature convergence due to poor exploration–exploitation balance, and black-box AI models undermine analyst trust by lacking decision transparency. Addressing these gaps is esse