Machine Learning for Detecting Malware in PE Files
arXiv:2212.13988v110 citationsh-index: 3
Originality Synthesis-oriented
AI Analysis
This addresses cybersecurity threats from malware for users and systems, but it is incremental as it reviews existing techniques.
The paper reviews and evaluates machine learning techniques for detecting malware in PE files, using a large benchmark dataset to assess common methods.
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.