G3MD: Mining frequent opcode sub-graphs for metamorphic malware detection of existing families-Reference-Cited by-同舟云学术

G3MD: Mining frequent opcode sub-graphs for metamorphic malware detection of existing families

Published:2018-12 Issue: Volume:112 Page:15-33
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Khalilian Alireza^ORCID,Nourazar Amir,Vahidi-Asl Mojtaba,Haghighi Hassan

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference52 articles.

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2. Graph-based malware detection using dynamic analysis;Anderson;Journal in Computer Virology and Hacking Techniques,2011

3. Resolution based computer metamorphic virus detection using redundancy control strategy;Ando,2005

4. Attaluri, S. (2007). Detecting metamorphic viruses using profile hidden markov models. Master's report, Department of Computer Science, San Jose State University.

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