Users' behavioral prediction for phishing detection

Lung-Hao Lee, Kuei-Ching Lee, Yen-Cheng Juan, Hsin-Hsi Chen, Yuen-Hsien Tseng
2014 Proceedings of the 23rd International Conference on World Wide Web - WWW '14 Companion  
This study explores the users' web browsing behaviors that confront phishing situations for context-aware phishing detection. We extract discriminative features of each clicked URL, i.e., domain name, bag-of-words, generic Top-Level Domains, IP address, and port number, to develop a linear chain CRF model for users' behavioral prediction. Large-scale experiments show that our method achieves promising performance for predicting the phishing threats of users' next accesses. Error analysis
more » ... es that our model results in a favorably low false positive rate. In practice, our solution is complementary to the existing anti-phishing techniques for cost-effectively blocking phishing threats from users' behavioral perspectives.
doi:10.1145/2567948.2577320 dblp:conf/www/LeeLJCT14 fatcat:hnivqhmw3zcpxjjo5egyoif3t4