A Virus Prevention Model Based on Static Analysis and Data Mining Methods

Owing to the lack of prevention ability of traditional anti-virus methods, a behavior-based virus prevention model for detecting unknown virus is proposed in this study. We first defined the behaviors of an executable by observing its usage of dynamically linked libraries and Application Programming...

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Bibliographische Detailangaben

Hauptverfasser:	Wang, Tzu-Yen, Wu, Chin-Hsiung, Hsieh, Chu-Cheng
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	behavior-based Computer viruses Conferences Data analysis Data mining Dynamic programming Information analysis information gain Information technology Libraries static analysis Support vector machines virus prevention
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