Distributed phishing detection by applying variable selection using Bayesian additive regression trees

IEEE International Conference on Communications

Volumn , Issue , 2009, Pages

  Abu Nimeh, Saeed ^a   Nappa, Dario ^a   Wang, Xinlei ^a   Nair, Suku ^a  

^a Southern Methodist University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADDITIVE REGRESSION; BAYESIAN; CLIENT SERVER; CONFIDENTIAL DATA; DISTRIBUTED ARCHITECTURE; FINANCIAL INSTITUTION; MOBILE USERS; PHISHING; PREDICTIVE ACCURACY; RESOURCE-CONSTRAINED; VARIABLE SELECTION;

GLOBAL SYSTEM FOR MOBILE COMMUNICATIONS; MOBILE DEVICES;

BAYESIAN NETWORKS;

EID: 70449493351     PISSN: 05361486     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICC.2009.5198931     Document Type: Conference Paper

References (11)

1. S. Abu-Nimeh, D. Nappa, X. Wang, and S. Nair, "Bayesian additive regression trees-based spam detection for enhanced email privacy," in ARES '08: Proceedings of the 3rd International Conference on Availability, Reliability and Security, 2008, pp. 1044-1051.
2. R. Wang, A. M. Youssef, and A. K. Elhakeem, "On some feature selection strategies for spam filter design," in CCECE '06: Canadian Conference on Electrical and Computer Engineering, 2006, pp. 2186-2189.
3. I. Guyon and A. Elisseeff, "An introduction to variable and feature selection," J. Mach. Learn. Res., vol. 3, pp. 1157-1182, 2003. [Online]. Available: http://portal.acm.org/citation.cfm?id=944968
4. M. Chandrasekaran, K. Narayanan, and S. Upadhyaya, "Phishing email detection based on structural properties," in NYS Cyber Security Conference, 2006.
5. I. Fette, N. Sadeh, and A. Tomasic, "Learning to detect phishing emails," in WWW '07: Proceedings of the 16th international conference on World Wide Web. New York, NY, USA: ACM Press, 2007, pp. 649-656.
6. S. Abu-Nimeh, D. Nappa, X. Wang, and S. Nair, "A comparison of machine learning techniques for phishing detection," in eCrime '07: Proceedings of the anti-phishing working groups 2nd annual eCrime researchers summit. New York, NY, USA: ACM, 2007, pp. 60-69.
7. H. A. Chipman, E. I. George, and R. E. McCulloch, "BART: Bayesian Additive Regression Trees," 2006, http://faculty.chicagogsb.edu/robert. mcculloch/research/code/BART-7-05.pdf.
8. J. Nazario. (2007) Phishing Corpus. Http://monkey.org/ jose/phishing/phishing3.mbox.
9. M. W. Berry, Ed., Survey of Text Mining: Clustering, Classification, and Retrieval. Springer, 2004.
10. J. Huang and C. X. Ling, "Using AUC and accuracy in evaluating learning algorithms," IEEE Transactions on Knowledge and Data Engineering, vol. 17, no. 3, 2005.
11. A. L. C. Howard B. Lee, Elementary Statistics: A Problem Solving Approach, 4th ed. Lulu.com, 2006.