Phishing Detection Using PSOAANN Based One-Class Classifier

Abstract

We propose to detect phishing emails and websites using particle swarm optimization (PSO) trained auto associative neural network (PSOAANN), which is employed as one class classifier. PSOAANN achieved better results when compared to previous efforts. In the study, we also developed a new feature selection method based on the weights from input to hidden layers of the PSOAANN. We compared its performance with other methods.