Music classification as a new approach for malware detection

Author:

Farrokhmanesh Mehrdad,Hamzeh AliORCID

Publisher

Springer Science and Business Media LLC

Subject

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

Reference27 articles.

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2. Symantec.: Internet Security Threat Report, Volume 17. Technical report, Symantec Corporation (2011). http://www.symantec.com/content/en/us/enterprise/other_resources/b-istr_main_report_2011_21239364.en-us.pdf . Accessed 19 May 2018

3. Vinod, P., Jaipur, R., Laxmi, V., Gaur, M.: Survey on malware detection methods. In: Proceedings of the 3rd Hackers’ Workshop on Computer and Internet Security (IITKHACK’09), pp. 74–79 (2009)

4. Wong, W.: Analysis and detection of metamorphic computer viruses. Department of Computer Science, San Jose State University, May, Master’s Thesis (2006)

5. Santos, I., Brezo, F., Ugarte-Pedrero, X., Bringas, P.G.P.: Opcode sequences as representation of executables for data-mining-based unknown malware detection. Inf. Sci. (Ny) 231, 64–82 (2013)

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