Implementing a system for searching for illegal financial services on the Internet based on a microservice architecture

Due to the development of modern society digitalization, most of the financial transactions including fraudulent ones have moved to the Internet. When providing services remotely, it is more difficult to track down and hold the beneficiary accountable, but still there are ways to stop fraudulent activity. However they are due to high labor costs for monitoring and analysis, because huge amounts of unstructured information (BigData) are located on the Internet. At the heart of the solution to identify illegal activities in the financial market is intelligence based on open information sources including data search and collection for their subsequent analysis. The research subject area is methods of detecting fraud in the financial services market on the Internet. The paper raises the problem of organizing effective monitoring and detection of illegal financial activity cases under the conditions of digitalizing ways of providing services. The paper focuses on the issue of identifying Internet resources on which financial services offers are placed without a license from the Bank of Russia. The paper proposes an approach to solving the problem of monitoring the provision of illegal finan-cial services in terms of searching and collecting thematic text data from the Internet based on a micro-service architecture using Apache Kafka distributed message broker software. The author presents an algorithm for searching and downloading data from Internet resources based on the proposed approach. The developed approach to searching and collecting data from thematic Internet resources has shown acceptable results and will be used as a microservice in the developed system of automated monitoring and detection of illegal financial services on the Internet.