Machine Learning for Detecting Malware in PE Files
Connors, Collin, Sarkar, Dilip
–arXiv.org Artificial Intelligence
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.
arXiv.org Artificial Intelligence
Dec-11-2022
- Country:
- North America
- Puerto Rico > Fajardo
- Fajardo (0.04)
- United States > New York (0.04)
- Puerto Rico > Fajardo
- North America
- Genre:
- Research Report (0.82)
- Industry:
- Government > Military
- Cyberwarfare (0.54)
- Information Technology > Security & Privacy (1.00)
- Government > Military
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