Forecasting of digital financial crimes in Russia based on machine learning methods

In the modern world, economic relations, business, and markets are increasingly being transferred to online world. Accordingly, percentage of a new type financial fraud – digital crimes is also growing. Russia, they one leaders in crimes. Constant development improvement technologies make for emergence sophisticated types fraud. Information security management systems among most important parts both public private internal policy enterprises that use them. Every year, issue combating cyber attacks becoming more acute. For example, 2021, volume transactions without consent bank customers increased by 38.8% compared 2020. risks not lead such serious consequences, it necessary determine influence external factors on dynamics Russia. We will develop predictive system based machine learning methods predict number