Profiling phishing emails based on hyperlink information

Proceedings - 2010 International Conference on Advances in Social Network Analysis and Mining, ASONAM 2010

Volumn , Issue , 2010, Pages 120-127

  Yearwood, John ^a   Mammadov, Musa ^a   Banerjee, Arunava ^a  

^a UNIVERSITY OF BALLARAT   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

ADABOOST; BOOSTING ALGORITHM; CLASS PREDICTION; DATA SETS; HYPERLINKS; MULTI-LABEL; MULTI-LABEL CLASSIFICATIONS; NOVEL METHODS; PHISHERS; PHISHING;

ADAPTIVE BOOSTING; ELECTRIC NETWORK ANALYSIS; FORECASTING; HYPERTEXT SYSTEMS;

ELECTRONIC MAIL;

EID: 77958185400     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ASONAM.2010.56     Document Type: Conference Paper

References (26)

1. J. Stewart, "DNS cache poisoning - the next generation, " Secure Works, Tech. Rep., 2003, http://www.secureworks.com/research/articles/.
2. A. Emigh, "Online identity theft: Phishing technilogy, chokepoints and countermeasures, " Radix Labs, Tech. Rep., 2005, retrieved from Anti- Phishing Working Group: http://www.antiphishing.org/resources.html.
3. I. Fette, N. Sadeh, and A. Tomasic, "Learning to detect phishing emails, " in WWW '07: Proceedings of the 16th international conference on the World Wide Web. New York, NY, USA: ACM Press, 2007, pp. 649-656.
4. M. Wu, R. Miller, and G. Little, "Preventing phishing attacks by revealing user intentions, " Symposium on Usable Privacy and Security (SOUPS), 2006.
5. A. Juels, M. Jakobsson, and T. N. Jagatic, "Cache cookies for browser authentication (extended abstract), " in SP '06: Proceedings of the 2006 IEEE Symposium on Security and Privacy (S&P'06). Washington, DC, USA: IEEE Computer Society, 2006, pp. 301-305.
6. M. Chandrasekaran, K. Karayanan, and S. Upadhyaya, "Towards phishing e-mail detection based on their structural properties, " in Proceedings of the New York State Cyber Security Conference, 2006.
7. D. Chau, "Prototyping a lightweight trust architecture to fight phishing, " MIT ComputerScience And Artificial Intelligence Laboratory, Tech. Rep., May 2005, final Report, http://groups.csail.mit.edu/cis/crypto/ projects/antiphishing/.
8. M. Jakobsson and A. Young, "Distributed phishing attacks, " Cryptology ePrint Archive, Report 2005/091, 2005, http://eprint.iacr.org/.
9. R. Clark, "Profiling: A hidden challenge to the regulation of data surveillance, " Journal of Law and Information Science, vol. 4, no. 2, 1993.
10. "Market basket analysis, " Wikipedia, January 2007, retrieved July 15, 2007 from http://en.wikipedia.org/wiki/Market-Basket-Analysis.html.
11. D. Petrovic, "Analysis of consumer behaviour online, " Analogik.com, Tech. Rep., 2007, retrieved July 15, 2007 from http://analogik.com/article-analysis-of-consumer-behaviour-online.asp.
12. "Investor profiles, " The National Mutual Life Association of Australasia Limited, retrieved July 20, 2007 from http://www.axafreedom.com.au/ freedom/freedom.nsf/content/InvestorProfiles.
13. "Interactive investor profile tool, " Southside Bank: Trust & Investment Services Group, retrieved July 20, 2007 from http://www.southsidetrust.com/tool.htm.
14. "Offender profiling, "Wikipedia, November 2006, retrieved July 26, 2007 from http://en.wikipedia.org/wiki/Offender-profiling.html.
15. "FBI method of profiling, " Wikipedia, January 2006, retrieved July 26, 2007 from http://en.wikipedia.org/wiki/FBI-Method-of-Profiling.html.
16. D. Webb, "A free and comprehensive guide to the world of forensic psychology, " All About Forensic Psychology, retrieved July 28, 2007 from http://www.all-about-forensic-psychology.com/criminal-profiling.html.
17. L. Alison, M. Smith, O. Eastman, and L. Rainbow, "Toulmin's philosophy of argument and its relevance to offender profiling, " Psychology, Crime and Law, vol. 9, no. 2, pp. 173-183, June 2003.
18. T. Castle and C. Hensley, "Serial killers with military experience: Applying learning theory to serial murder, " International Journal of Offender Therapy and Comparative Criminology, pp. 453-465, 2002.
19. "Customer profiling survey solution enabling cross and up selling, " Confirmit: Customer Survey, 2007, retrieved July 29, 2007 from http://www.confirmit.com/solutions/survey/customer%5Fprofiling/.
20. "InterNIC : Whois search, " InterNIC - Public information Regarding Internel Domain Name Registration Services, http://www.internic.net/ whois.html.
21. "The APNIC whois, " Asia Pacific Network Information Center, http://wq.apnic.net/apnic-bin/whois.pl.
22. "Ripe database, " RIPE Network Coordination Centre, http://www.ripe.net/index.html.
23. D. Webb, J. Yearwood, P. Vamplew, M. Liping, B. Ofoghi, and A. Kelarev, "Applying clustering and ensemble clustering approaches to phishing profiling, " in Proceedings of AusDM 2009, The Australasian Data Mining Conference 2009. CRPIT, 2009.
24. R. Schapire and Y. Singer, "BoosTexter: A boosting-based system for text categorization, " Machine Learning, vol. 39(2/3), pp. 135-168, 2000.
25. Y. Freund and R. Schapire, "A short introduction to boosting, " Journal of Japanese Society for Artificial Intelligence, vol. 14(5), September 1999.
26. T. J. Joachims, Learning to classify text using support vector machines: methods, theory and algorithms. Kluwer Academic Publishers, 2002.