Predicting web spam with HTTP session information

International Conference on Information and Knowledge Management, Proceedings

Volumn , Issue , 2008, Pages 339-348

  Webb, Steve ^a   Caverlee, James ^b   Pu, Calton ^a  

^a Georgia Institute of Technology   (United States)

^b TEXAS A AND M UNIVERSITY   (United States)

Author keywords

Classification; HTTP session information; Web spam

Indexed keywords

CLASSIFICATION; CLASSIFICATION RESULTS; CONTENT-BASED; CONTENTS OF WEB PAGE; EVALUATION RESULTS; FALSE POSITIVE RATES; IP ADDRESSS; LINK STRUCTURE; MALWARES; PREDICTIVE TECHNIQUES; SPAM CLASSIFICATION; SPAM DETECTION; STORAGE RESOURCES; WEB APPLICATION; WEB CRAWLERS; WEB GRAPHS; WEB MINING; WEB SPAM; WEB USERS;

CLASSIFICATION (OF INFORMATION); CLASSIFIERS; COMPUTER CRIME; INTERNET; KNOWLEDGE MANAGEMENT; LEARNING SYSTEMS; SEARCH ENGINES; SPAMMING; WEB BROWSERS; WORLD WIDE WEB;

HTTP;

EID: 70349233061     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1458082.1458129     Document Type: Conference Paper

References (30)

1. D. S. Anderson et al. Spamscatter: Characterizing internet scam hosting infrastructure. In Proc. of Usenix Security '07, 2007.
2. L. Becchetti et al. Link-based characterization and detection of web spam. In Proc. of AIRWeb '06, 2006.
3. A. A. Benczur et al. Spamrank - fully automatic link spam detection. In Proc. of AIRWeb '05, 2005.
4. C. Castillo et al. A reference collection for web spam. SIGIR Forum, 40(2), 2006.
5. C. Castillo et al. Know your neighbors: Web spam detection using the web topology. In Proc. of SIGIR '07, 2007.
6. J. Caverlee and L. Liu. Countering web spam with credibility-based link analysis. In Proc. of PODC '07, 2007.
7. J. Caverlee, S. Webb, and L. Liu. Spam-resilient web rankings via influence throttling. In Proc. of IPDPS '07, 2007.
8. B. D. Davison. Recognizing nepotistic links on the web. In Proc. of AIWS '00, 2000.
9. I. Drost and T. Scheffer. Thwarting the nigritude ultramarine: Learning to identify link spam. In Proc. of ECML '05, 2005.
10. T. Fawcett. An introduction to ROC analysis. Pattern Recognition Letters, 27(8), 2006.
11. D. Fetterly, M. Manasse, and M. Najork. Spam, damn spam, and statistics: Using statistical analysis to locate spam web pages. In Proc. of WebDB '04, 2004.
12. R. Fielding et al. RFC 2616 - hypertext transfer protocol - http/1.1. http://faqs.org/rfcs/rfc2616.html, 1999.
13. G. Forman. An extensive empirical study of feature selection metrics for text classification. The Journal of Machine Learning Research, 3, 2003.
14. Z. Gyöngyi and H. Garcia-Molina. Spam: It's not just for inboxes anymore. Computer, 38(10), 2005.
15. Z. Gyöngyi and H. Garcia-Molina. Web spam taxonomy. In Proc. of AIRWeb '05, 2005.
16. Z. Gyöngyi, H. Garcia-Molina, and J. Pedersen. Combating web spam with trustrank. In Proc. of VLDB '04, 2004.
17. J. Hirai. Webbase : A repository of web pages. In Proc. of WWW '00, 2000.
18. R. Kohavi. A study of cross-validation and bootstrap for accuracy estimation and model selection. In Proc. of IJCAI '95, 1995.
19. T. Mitchell. Machine Learning. McGraw Hill, 1997.
20. A. Moshchuk et al. A crawler-based study of spyware in the web. In Proc. of NDSS '06, 2006.
21. A. Moshchuk et al. Spyproxy: Execution-based detection of malicious web content. In Proc. of Usenix Security '07, 2007.
22. A. Ntoulas et al. Detecting spam web pages through content analysis. In Proc. of WWW '06, 2006.
23. N. Provos et al. The ghost in the browser: Analysis of web-based malware. In Proc. of HotBots '07, 2007.
24. G. Salton, A. Wong, and C. S. Yang. A vector space model for automatic indexing. Comm. of the ACM, 18(11), 1975.
25. Y. M. Wang et al. Automated web patrol with strider honeymonkeys: Finding web sites that exploit browser vulnerabilities. In Proc. of NDSS '06, 2006.
26. S. Webb, J. Caverlee, and C. Pu. Introducing the webb spam corpus: Using email spam to identify web spam automatically. In Proc. of CEAS '06, 2006.
27. S. Webb, J. Caverlee, and C. Pu. Characterizing web spam using content and http session analysis. In Proc. of CEAS '07, 2007.
28. I. H. Witten and E. Frank. Data Mining: Practical Machine Learning Tools and Techniques. Morgan Kaufmann, 2005.
29. B. Wu and B. D. Davison. Identifying link farm spam pages. In Proc. of WWW '05, 2005.
30. Y. Yang and J. O. Pederson. A comparative study of feature selection in text categorization. In Proc. of ICML '97, 1997.