Development of a methodology for monitoring the circulation of digital financial assets based on the analysis of cryptocurrency transactions
Keywords:
cryptocurrency; transaction; machine learning; security riskAbstract
This research aims to develop a methodology for monitoring the circulation of digital financial assets based on the analysis of cryptocurrency transactions using machine learning methods. Cryptocurrencies have become an integral part of the modern financial system, and their circulation continues to grow. However, the lack of effective means of control and monitoring can pose risks to financial stability and security. In this study, we propose a novel approach to monitoring the circulation of cryptocurrencies by utilizing machine learning algorithms for transaction analysis and the detection of potential violations.
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