Detecting Spear-phishing Emails Based on Authentication

Abstract

In this paper, stylometric features, gender features and personality features are introduced in the phishing detection. Experimental results show that the detection accuracy reaches 95.05%, which is about 10% higher than that only using the stylometric features. This results indicates that the algorithm has detection effect.