PROSPECTS FOR THE USE OF NEURAL NETWORK MODELS IN THE PREVENTION OF POSSIBLE NETWORK ATTACKS ON MODERN BANKING INFORMATION SYSTEMS BASED ON BLOCKCHAIN TECHNOLOGY IN THE CONTEXT OF THE DIGITAL ECONOMY

Abstract

This article presents methods for detecting possible crypto-attacks on banking and other financial information systems based on blockchain technology. In particular, the mathematical basis of artificial intelligence and neural networks was considered in the detection of network attacks on financial information systems. Also, the traditional models of the system for combating network attacks, the conceptual model of ensuring the effectiveness of countermeasures against cyber-attacks, the basic principles and mathematical models of the use of artificial intelligence and neural network models are presented. Based on the given models, empirical results are obtained and analyzed, and their effectiveness is presented in scientific conclusions.