Exploiting redundancy in natural language to penetrate Bayesian spam filters

1st USENIX Workshop on Offensive Technologies, WOOT 2007

Volumn , Issue , 2007, Pages

  Karlberger, Christoph ^a   Bayler, Günther ^a   Kruegel, Christopher ^a   Kirda, Engin ^a  

^a VIENNA UNIVERSITY OF TECHNOLOGY   (Austria)

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN; BAYESIAN FILTERS; NATURAL LANGUAGES; SPAM FILTER; SPAM MAILS; SPAM MESSAGES; SUBSTITUTION ATTACK; TEST SETS;

ELECTRONIC MAIL FILTERS;

EID: 85084161850     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (22)

1. ARADHYE, H. B., MYERS, G. K., AND HERSON, J. A. Image analysis for efficient categorization of image-based spam e-mail. In Eighth International Conference on Document Analysis and Recognition (2005).
2. BOWERS, J. Bayes Attack Report. http://web.archive.org/web/20050206210806/www.jerf. org/writings/bayesReport.html,, February 2003.
3. CipherTrust SpamArchive. ftp://mirrors.blueyonder.co.uk/sites/ftp.spamarchive.org/pub/ archives/submit/.
4. CUTTING, D., KUPIEC, J., AND PEDERSEN, J. A practical part-of-speech tagger. In Third Conference on Applied Natural Language Processing (1992), Xerox Palo Alto Research Center.
5. The DSPAM Project. http://dspam.nuclearelephant.com/.
6. Enron Email Dataset. http://www.cs.cmu.edu/~enron/.
7. GOOGLE. Gmail. http://mail.google.com/.
8. GRAHAM-CUMMING, J. The spammers’ compendium. http://www.jgc.org/tsc.html.
9. GRAHAM-CUMMING, J. How to beat an adaptive spam filter. In MIT Spam Conference (2004).
10. GUENTER, B. Bruce Guenter’s SPAM Archive. http://www.untroubled.org/spam/.
11. KRAWETZ, N. Anti-Spam Solutions and Security. http://www.securityfocus.com/infocus/1763, 2004.
12. LingPipe 2.4.0. http://www.alias-i.com/lingpipe/.
13. LOWD, D., AND MEEK, C. Good word attacks on statistical spam filters. In Conference on Email and Anti-Spam (2005).
14. MIHALCEA, R. Senselearner. http://lit.csci.unt.edu/~senselearner/.
15. PRINCTON. Wordnet 2.1. http://wordnet.princeton.edu/, 2006.
16. PU, C., AND WEBB, S. Observed trends in spam construction techniques: A case study of spam evolution. In Third Conference on Email and Anti-Spam (CEAS) (2006), p. 104.
17. SpamAssassin. http://spamassassin.apache.org/.
18. SULLIVAN, T. The more things change: Volatility and stability in spam features. In MIT Spam Conference (2004).
19. THORYK, R. Tliquest spam archives. http://web.archive.org/web/20051104234750/http: //www.tliquest.net/spam/archive/.
20. WITTEL, G., AND WU, F. Attacking statistical spam filters. In First Conference on Email and Anti-Spam (CEAS) (July 2004).
21. ZDZIARSKI, J. Bayesian noise reduction: Contextual symmetry logic utilizing pattern consistency analysis. In MIT Spam Conference (2005).
22. ZDZIARSKI, J. Ending Spam: Bayesian Content Filtering and the Art of Statistical Language Classification. No Starch Press, 2005.