How many ways can you spell V1χra?

American Scientist

Volumn 95, Issue 4, 2007, Pages 298-302

  Hayes, Brian ^a  

^a NONE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ARTIFICIAL INTELLIGENCE; INFORMATION TECHNOLOGY; PATTERN RECOGNITION;

EID: 34447335369     PISSN: 00030996     EISSN: None     Source Type: Trade Journal    
DOI: 10.1511/2007.66.3748     Document Type: Article

References (12)

1. Cockerham, Rob. 2004. There are 600,426, 974,379,824,381,952 ways to spell Viagra. http://www.cockeyed.com/lessons/viagra/viagra.html
2. Gordillo, José, and Eduardo Conde. 2007. An HMM for detecting spam mail. Expert Systems with Applications: An International Journal 33(3):667-682.
3. Graham, Paul. 2002. A plan for spam-L http://www.paulgraham.com/spam.html
4. Graham, Paul. 2003. Better Bayesian filtering. http://www.paulgraham.com/ better.html
5. Graham-Cumming, John. 2006. Does Bayesian poisoning east? Spam Bulletin, February 2006. http://www.virusbtn.com/spambulletin/ archive/2006/02/index
6. Hayes, Brian. 2003. Computing science: Spam, spam, spam, lovely spam. American Scientist 91:200-204.
7. Lee, Seunghak, Iryoung Jeong and Seungjin Choi. 2007. Dynamically weighted hidden Markov model for spam deobfuscation. In Proceedings of the 2007 International Joint Conference on Artificial Intelligence, IJCA107. http://www.ijcai.org/papers07/Papers/ IJCAI07-406.pdf
8. Lowd, Daniel, and Christopher Meek. 2005. Good word attacks on statistical spam filters. In Second Conference on Email and Anti-Spam, CEAS 2005. http://www.ceas.cc/2005/
9. Pantel, Patrick, and Dekang Lin. 1998. Spam-Cop - A spam classification and organization program. In Proceedings of the AAAI-98 Workshop on Learning for Text Categorization, pp. 95-98. http://www.isi.edu/ ~pantel/Content/pubhcations.htm
10. Pu, Calton, and Steve Webb. 2006. Observed trends in spam construction techniques: a case study of spam evolution. In Third Conference on Email and Anti-Spam, CEAS 2006. http://www.ceas.cc/index-2006.html
11. Sahami Mehran, Susan Dumais David Heckerman and Eric Horvitz. 1998. A Bayesian approach to filtering junk e-mail. In AAAI-98 Workshop on Learning for Text Categorization. http://robotics.stanford.edu/users/ sahami/papers-dir/spam.ps
12. Zdziarski, Jonathan A. 2005. Ending Spam: Bayesian Content Filtering and the Art of Statistical Language Classification. San Francisco: No Starch Press.