A comparison of static, dynamic, and hybrid analysis for malware detection

In this research, we compare malware detection techniques based on static, dynamic, and hybrid analysis. Specifically, we train Hidden Markov Models (HMMs) on both static and dynamic feature sets and compare the resulting detection rates over a substantial number of malware families. We also conside...

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Veröffentlicht in:	Journal of Computer Virology and Hacking Techniques 2017-02, Vol.13 (1), p.1-12
Hauptverfasser:	Damodaran, Anusha, Troia, Fabio Di, Visaggio, Corrado Aaron, Austin, Thomas H., Stamp, Mark
Format:	Artikel
Sprache:	eng
Schlagworte:	Anti-virus software Computer Science Computer viruses Malware Markov chains Original Paper
Online-Zugang:	Volltext
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