Improving the Detection of Unknown Computer Worms Activity Using Active Learning-Reference-Cited by-同舟云学术

Improving the Detection of Unknown Computer Worms Activity Using Active Learning

Published: Issue: Volume: Page:489-493
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
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Author:

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

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-540-74565-5_47.pdf

Reference7 articles.

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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)

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