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Machine Learning for Detecting Malware in PE Files
December 12, 2022 Β· Declared Dead Β· π International Conference on Machine Learning and Applications
"No code URL or promise found in abstract"
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Authors
Collin Connors, Dilip Sarkar
arXiv ID
2212.13988
Category
cs.CR: Cryptography & Security
Cross-listed
cs.LG
Citations
10
Venue
International Conference on Machine Learning and Applications
Last Checked
4 months ago
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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