Improving the detection of unknown computer worms activity using active learning

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4667 LNAI, Issue , 2007, Pages 489-493

  Moskovitch, Robert ^a   Nissim, Nir ^a   Stopel, Dima ^a   Feher, Clint ^a   Englert, Roman ^a   Elovici, Yuval ^a  

^a BEN GURION UNIVERSITY OF THE NEGEV   (Israel)

Author keywords

Active learning; Classification; Malcode detection; Support vector machines

Indexed keywords

COMPUTER AIDED SOFTWARE ENGINEERING; COMPUTER VIRUSES; ELECTRONIC DOCUMENT IDENTIFICATION SYSTEMS; KNOWLEDGE REPRESENTATION; SUPPORT VECTOR MACHINES;

ACTIVE LEARNING; ANTI-VIRUS TOOLS; MALCODE DETECTION; WORM SIGNATURES;

COMPUTER WORMS;

EID: 38149023532     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-74565-5_47     Document Type: Conference Paper

References (7)

1. Fosnock, C.: Computer Worms: Past, Present and Future. East Carolina University. Kabiri, P., Ghorbani, A.A. Research on intrusion detection and response: A survey. International Journal of Network Security, 1(2), 84-102 (2005)
2. Moskovitch, R., Gus, I., Pluderman, S., Stopel, D., Fermat, Y., Shahar, Y., Elovici, Y.: Host Based Intrusion Detection Using Machine Learning. In: Proceedings of Intelligence and Security Informatics, May 2007, Rutgers University (2007)
3. Chang, C.-C., Lin, C.-J.: LIBSVM: a library for support vector machines (2001), Software available at http://www.csie.ntu.edu.tw/~cjlin/libsvm
4. Quinlan, J.R.: C4.5: programs for machine learning. Morgan Kaufmann Publishers Inc., San Francisco, CA, USA (1993)
5. Mitchell, T.: Machine Learning. McGraw-Hill, New York (1997)
6. Liu, H., Motoda, H., Yu, L.: A Selective Sampling Approach to Active Selection. Artificial Intelligence 159, 49-74 (2004)
7. Roy, N., McCallum, A.: Toward optimal active learning through sampling estimation of error reduction. In: Proceedings of ICML-2001, 18th International Conference on Machine Learning, pp. 441-448 (2001)