![]() ![]() The goal of this study is to introduce three machine learning-based systems that enhance malware detection in the presence of evasion attacks by substantially relying on evasive data to train malware and evasion detection models. ![]() Although people have used machine learning techniques to detect malware in PDF files, the problem with these models is their weak resistance against evasion attacks, which constitutes a major security threat. The Portable Document Format (PDF) is considered one of the most popular formats due to its flexibility and portability across platforms.
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