Mal-API-2019
Published in Data Archiving and Networked Services (DANS) • May 10, 2019
NobleIDNI7P59W56R15S90
Authors:
Ferhat Özgür Çatak
Abstract
This study seeks to obtain data which will help to address machine learning based malware research gaps. The specific objective of this study is to build a benchmark dataset for Windows operating system API calls of various malware. This is the first study to undertake metamorphic malware to build s...
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