A Novel Approach for Detecting Unauthorized Requests in Software-Defined Networks Using Hybrid Particle Swarm and Automated Grey Wolf Optimizer Algorithm
International journal of intelligent engineering and systems · 2024
Software Defined Networking (SDN) is a technology that consolidates network management through a unified controller.However, it is vulnerable to attacks like distributed denial of service (DDoS) due to reliance on a single control plane.In order to address this, a new approach called Hybrid Particle Swarm Optimization (PSO) and Automated Modified Grey Wolf Optimizer Algorithm (AMGWOA) is proposed in this paper.We enhance the efficiency of detecting and preventing malicious requests in SDN frameworks by combining PSO and AMGWOA.Our PSOAMGWO method outperforms conventional grey wolf optimizer and particle swarm optimization techniques, achieving a remarkable 100% accuracy in detecting harmful requests within 0.5 seconds under the same sample size of traffic requests.This approach not only reduces detection time but also minimizes storage and computing resource utilization.