A Feature Set of Small Size for the PDF Malware Detection. (arXiv:2308.04704v1 [cs.CR])

Machine learning (ML)-based malware detection systems are becoming
increasingly important as malware threats increase and get more sophisticated.
PDF files are often used as vectors for phishing attacks because they are
widely regarded as trustworthy data resources, and are accessible across
different platforms. Therefore, researchers have developed many different PDF
malware detection methods. Performance in detecting PDF malware is greatly
influenced by feature selection. In this research, we propose a small features
set that don't require too much domain knowledge …

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