FIELD: information security.
SUBSTANCE: method for determination of a phishing electronic message uses at least two machine learning models, while, using the first model, an electronic message is determined as suspicious based on the first type attributes of an intercepted electronic message, and, using the second model, a suspicious electronic message is determined as phishing based on the second type attributes.
EFFECT: increase in the accuracy of determination of a phishing electronic message, reduction in a number of false determinations of a phishing electronic message, reduction in time and resource costs for use of a resource-intensive second machine learning model by preliminary determination of an electronic message as suspicious, using the first model.
7 cl, 4 dwg
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