Abstract: Disclosed are systems and methods generating a convolution function for training a malware detection model. An example method comprises generating, by a processor, a plurality of behavior patterns based on one or more logs of commands executed on a computing device, calculating, by the processor, an effectiveness of each of a plurality of methods for machine learning based on the plurality of behavior patterns, determining, by the processor, a preferred method for machine learning from the plurality of methods for machine learning by selecting the preferred method as a method with the greatest effectiveness from the plurality of methods for machine learning, obtaining, by the processor, parameters of the malware detection model by applying convolution functions to the plurality of behavior patterns, training, by the processor, the malware detection model to detect malicious files using the preferred method for machine learning.