Machine Learning for Detecting Malware in PE Files
Collin Connors, Dilip Sarkar · 2023
The increasing number of sophisticated malware poses a significant cybersecurity threat. Portable executable (PE) files are a common vector for such malware. We review and evaluate machine learning-based PE malware detection techniques in this work. Using a large benchmark dataset, we evaluate features of PE files using the most common machine- learning techniques to detect malware.