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Machine Learning for Detecting Malware in PE Files
Published 12 Dec 2022 in cs.CR and cs.LG | (2212.13988v1)
Abstract: The increasing number of sophisticated malware poses a major cybersecurity threat. Portable executable (PE) files are a common vector for such malware. In this work we review and evaluate machine learning-based PE malware detection techniques. Using a large benchmark dataset, we evaluate features of PE files using the most common machine learning techniques to detect malware.
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