TY - GEN
T1 - Users' behavioral prediction for phishing detection
AU - Lee, Lung Hao
AU - Lee, Kuei Ching
AU - Juan, Yen Cheng
AU - Chen, Hsin Hsi
AU - Tseng, Yuen Hsien
N1 - Publisher Copyright:
© Copyright 2014 by the International World Wide Web Conferences Steering Committee.
PY - 2014/4/7
Y1 - 2014/4/7
N2 - 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 indicates 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.
AB - 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 indicates 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.
KW - Behavioral analysis
KW - Category prediction
KW - Context-aware detection
UR - http://www.scopus.com/inward/record.url?scp=84990942800&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84990942800&partnerID=8YFLogxK
U2 - 10.1145/2567948.2577320
DO - 10.1145/2567948.2577320
M3 - Conference contribution
AN - SCOPUS:84990942800
T3 - WWW 2014 Companion - Proceedings of the 23rd International Conference on World Wide Web
SP - 337
EP - 338
BT - WWW 2014 Companion - Proceedings of the 23rd International Conference on World Wide Web
PB - Association for Computing Machinery, Inc
T2 - 23rd International Conference on World Wide Web, WWW 2014
Y2 - 7 April 2014 through 11 April 2014
ER -