МЕТОДИКА ОБЕСПЕЧЕНИЯ БЕЗОПАСНОСТИ ТРАНЗАКЦИЙ НА ОСНОВЕ ИСПОЛЬЗОВАНИЯ АНТИФРОД-СИСТЕМЫ

Abstract

The aim of this scientific work is to propose a methodology for ensuring the security of transactions in commercial structures using an anti-fraud system. The article is devoted to analyzing the current problems in the field of information security in the financial sector, namely the use of anti-fraud systems designed to correctly identify illegitimate payment transactions for their timely prevention. The paper considers the feasibility question using machine learning in anti-fraud systems as a tool responsible for increasing the accuracy of checks while working with big data. The novelty of the study lies in proposing a scheme for the subsystem interaction of anti-fraud mechanisms using an expert’s manual verification, which is suitable for organizations that need to manually review each identified case of the Internet fraud. The work results in recommendations for preparing for the selection of an anti-fraud system, and a scheme for the subsystem interaction of the anti-fraud program.