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Automated file analysis is important in malware research for identifying malicious files in large collection of samples. This paper describes an automatic system that can classify a file as infected based on the dynamic behavior of the file observed inside a controlled monitored environment. Based on features revealed at runtime, we train a Support Vector Machine classifier that can be further used...
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