Machine learning for computer security

Journal of Machine Learning Research

Volumn 7, Issue , 2006, Pages 2669-2672

[No Author Info available]

Author keywords

Computer security; Encrypted traffic; Images with embedded text; Malicious executables; Network protocols; Spam

Indexed keywords

INTERNET; LEARNING ALGORITHMS; NETWORK PROTOCOLS; SECURITY OF DATA; SPAMMING; TELECOMMUNICATION TRAFFIC;

ENCRYPTED TRAFFIC; IMAGES WITH EMBEDDED TEXT; MALICIOUS EXECUTABLES;

LEARNING SYSTEMS;

EID: 33845807389     PISSN: 15324435     EISSN: 15337928     Source Type: Journal    
DOI: None     Document Type: Article

References (9)

1. D. Barbara and S. Jajodia, editors. Applications of Data Mining in Computer Security. Kluwer, 2002.
2. A. Bratko, B. Filipic, G. Cormack, T. Lynam, and B. Zupan. Spam filtering using statistical data compression models. Journal of Machine Learning Research, 7:2673-2698, 2006.
3. C. Brodley, P. Chan, R. Lippmann, and B. Yurcik, editors. Workshop Notes of Visualization and Data Mining for Computer Security, 2004. ACM Intl. Conf. Computer and Communications Security (CCS).
4. P. Chan, V. Kumar, W. Lee, and S. Parthasarathy, editors. Workshop Notes of Data Mining for Computer Security, 2003. IEEE Intl. Conf. Data Mining (ICDM).
5. G. Fumera, I. Pillai, and F. Roll. Spam filtering based on the analysis of text information embedded into images. Journal of Machine Learning Research, 7:2699-2720, 2006.
6. J. Kolter and M. Maloof. Learning to detect and classify malicious executables in the wild. Journal of Machine Learning Research, 7:2721-2744, 2006.
7. M. Maloof, editor. Machine Learning and Data Mining for Computer Security. Springer, 2006.
8. J. Newsome, B. Karp, and D. Song. Paragraph: Thwarting signature learning by training maliciously. In D. Zamboni and C. Kruegel, editors, Recent Advances in Intrusion Detection (RAID) 2006 (LNCS 4219), pages 81-105, Berlin, 2006. Springer-Verlag.
9. C. Wright, F. Monrose, and G. Masson. On inferring application protocol behaviors in encrypted network traffic. Journal of Machine Learning Research, 7:2745-2769, 2006.