A domain-feature enhanced classification model for the detection of Chinese phishing e-Business websites

作者：Zhang, Dongsong; Yan, Zhijun^*; Jiang, Hansi; Kim, Taeha

来源：Information & Management, 2014, 51(7): 845-853.

DOI：10.1016/j.im.2014.08.003

• Phishing websites
• E-business
• Classification
• Detection
• Feature vectors

We propose a novel classification model that consists of features of website URLs and content for automatically detecting Chinese phishing e-Business websites. The model incorporates several unique domain-specific features of Chinese e-Business websites. We evaluated the proposed model using four different classification algorithms and approximately 3,000 Chinese e-Business websites. The results show that the Sequential Minimal Optimization (SMO) algorithm performs the best. The proposed model outperforms two baseline models in detection precision, recall, and F-measure. The results of a sensitivity analysis demonstrate that domain-specific features have the most significant impact on the detection of Chinese phishing e-Business websites.

• 出版日期2014-11
• 单位北京理工大学