APPLICATION OF MACHINE LEARNING METHODS FOR DETECTING CYBER ATTACKS BASED ON SOCIAL ENGINEERING

Kotikov Nikita, Rusakov Alexey, Filatov Vyacheslav Valeryevich

This article presents a study on the development of a tool for proactive analysis and classification of potentially malicious web pages. The research materials contain an overview of the existing means of identifying illegitimate resources, justified by the relevance of the study. Also presented are: scope of application, subject of research and potential limitations of software implementation. The main tasks are formulated, algorithms and methods that need to be taken into account during development are defined. The article concludes that an integrated approach to ensuring infrastructure protection, taking into account multi-vector analysis, is quite in demand both theoretically and practically.

Keywords:classification of web pages, phishing, information security