Countering cyber threats for industrial applications: An automated approach for malware evasion detection and analysis

Author:

Noor Muzzamil,Abbas Haider,Shahid Waleed Bin

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture

Reference33 articles.

1. Adrian Martinez, C., Isaza Echeverri, G., Castillo Sanz, A., 2010. Malware detection based on cloud computing integrating intrusion ontology representation. In: Proceedings of the 2010 IEEE Latin-American Conference On Communications. 〈http://dx.doi.org/10.1109/latincom.2010.5641013〉.

2. Av-test.org, 2016. AV-TEST – The Independent IT-Security Institute. Retrieved 14 February 2016, from 〈http://www.av-test.org/en/statistics/malware/〉.

3. Dynamic analysis of malicious code;Bayer;J. Comput. Virol.,2006

4. Bayer, U., Habibi, I., Balzarotti, D., Kirda, E., Kruegel, C., 2009. A view on current malware behaviors. In: LEET'09 Proceedings of the 2nd USENIX Conference on Large-Scale Exploits and Emergent Threats: Botnets, Spyware, Worms, and More. USENIX Association Berkeley, CA, USA. pp. 8-8.

5. Bellard, F., 2005. QEMU, a fast and portable dynamic translator. In: ATEC '05 Proceedings of the Annual Conference on USENIX Annual Technical Conference. USENIX Association Berkeley, CA, USA ©2005. Retrieved from 〈http://dl.acm.org/citation.cfm?Id=1247401〉.

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