Abstracting minimal security-relevant behaviors for malware analysis-Reference-Cited by-同舟云学术

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Abstracting minimal security-relevant behaviors for malware analysis

Published:2013-04-26 Issue:4 Volume:9 Page:193-204
ISSN:2263-8733
Container-title:Journal of Computer Virology and Hacking Techniques
language:en
Short-container-title:J Comput Virol Hack Tech

Author:

Cao Ying,Miao Qiguang,Liu Jiachen,Gao Lin

Publisher

Springer Science and Business Media LLC

Subject

Computational Theory and Mathematics,Hardware and Architecture,Software,Computer Science (miscellaneous)

Link

http://link.springer.com/content/pdf/10.1007/s11416-013-0186-3.pdf

Reference22 articles.

1. Filiol, E.: Malware pattern scanning schemes secure against black-box analysis. J. Comput. Virol. 2(1), 35–50 (2006)

2. Jacob, G., Debar, H., Filiol, E.: Behavioral detection of malware: from a survey towards an established taxonomy. J. Comput. Virol. 4(3), 251–266 (2008)

3. Filiol, E., Jacob, G., Le Liard, M.: Evaluation methodology and theoretical model for antiviral behavioural detection strategies. J. Comput. Virol. 3(1), 23–37 (2007)

4. Shabtai, A., Moskovitch, R., Elovici, Y., Glezer, C.: Detection of malicious code by applying machine learning classifiers on static features: a state-of-the-art survey. Inf. Secur. Tech. Rep. 14(1), 16–29 (2009)

5. Christodorescu, M., Jha, S., Kruegel, C.: Mining specifications of malicious behavior. In: Proceedings of the 6th Joint Meeting of the European Software Engineering Conference and the ACM SIGSOFT Symposium on the Foundations of Softerware Engineering (ESEC/FSE ’07), Cavat, Croatia, pp. 5–14. ACM, New York, USA (2008)

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