Abstract: The present disclosure provides a system and method for allocating computer resources for detection of malicious files. In one aspect, the system comprises: a hardware processor configured to: form at least one behavior pattern grouping selected commands with shared parameters, apply a hash function on the at least one of the formed behavior pattern to obtain computed parameters, calculate a degree of harmfulness based on the obtained computed parameters using the hash function and a model for detection of malicious files, wherein the degree of harmfulness is a number value characterizing a probability that a malicious activity will be manifested by a time of computing said degree of harmfulness and wherein the model is a machine learning model trained using computed parameters of previous behavior patterns on which the hash function was applied to output degrees of harmfulness, and allocate the computing resources based on the calculated degree of harmfulness.

Abstract: The present disclosure provides a system and method for allocating computer resources for detection of malicious files. In one aspect, the system comprises: a hardware processor configured to: form at least one behavior pattern grouping selected commands with shared parameters, apply a hash function on the at least one of the formed behavior pattern to obtain computed parameters, calculate a degree of harmfulness based on the obtained computed parameters using the hash function and a model for detection of malicious files, wherein the degree of harmfulness is a number value characterizing a probability that a malicious activity will be manifested by a time of computing said degree of harmfulness and wherein the model is a machine learning model trained using computed parameters of previous behavior patterns on which the hash function was applied to output degrees of harmfulness, and allocate the computing resources based on the calculated degree of harmfulness.