Malware detection using machine learning

We propose a versatile framework in which one can employ different machine learning algorithms to successfully distinguish between malware files and clean files, while aiming to minimise the number of false positives. In this paper we present the ideas behind our framework by working firstly with ca...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Gavrilut, Dragos, Cimpoesu, Mihai, Anton, Dan, Ciortuz, Liviu
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Association rules Computer science Computer viruses Hidden Markov models Information technology Learning systems Machine learning Machine learning algorithms Testing
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