Detecting Spear-phishing Emails Based on Authentication
Wang Xiujuan, Chenxi Zhang, Zheng Kangfeng, Tang Haoyang, Yuanrui Tao · 2019 IEEE 4th International Conference on Computer and Communication Systems (ICCCS) · 2019
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.