Phishing detection research based on pso-bp neural network

Abstract

In order to effectively detect phishing attacks, this paper proposes a method of combining Particle Swarm Optimization with BP neural network to build a new phishing website detection system. PSO optimizes neural network parameters to improve the convergence performance of neural network detection model. Experimental results show that this algorithm can improve the prediction speed and the accuracy of detecting phishing websites by 3.7% compared with the conventional BP neural network algorithm.