METHOD AND SYSTEM FOR DETECTING EMULATED MOBILE OPERATING SYSTEM USING MACHINE LEARNING TECHNIQUES

摘要

FIELD: calculating; counting.;SUBSTANCE: group of inventions relates to computer engineering. Said result is achieved by a method of detecting an emulated mobile operating system using machine learning techniques, wherein data are collected on a mobile application which is installed on a mobile user communication device; sending the data received at the previous step from the mobile communication device of the user to the server; performs extraction of the obtained data by means of the parser containing the collected features, in accordance with the field names; sending selected features to a trained statistical data model located on a server, having feature groups which include a group of statistical features, dynamic features, user metrics, file metrics and modified metrics; decision is made by means of trained statistical data model mobile application is installed on real device or emulated mobile operating system.;EFFECT: technical result is high quality of analysing transactions performed in banking applications running in an emulated operating system.;11 cl, 9 dwg