Bayesian methods in the analysis of illegal activity of users of electronic trading platforms

The paper considers the issues of prevention and detection of crimes committed in the information and communication environment, as well as its use. Given the increasing demand for the Internet as an important social component in the state's development strategy, the development and implementation of tools, preventive measures and methods for solving crimes committed in the virtual environment in the system of law enforcement cannot be overestimated. Despite the fact that algorithms for committing crimes of this type are widely known and well-studied by domestic and foreign authors, methods for solving such crimes and questions of their practical application remain a topical subject of scientific research. This article discusses a possible mechanism for law enforcement agencies based on a preliminary study and identification of patterns in the use of the Internet by its users. Based on data mining methods, we consider ways to improve the effectiveness of internal Affairs agencies in the application of measures to prevent and solve crimes in the information and communication environment. The method proposed in this paper provides an opportunity to forecast demand and supply for commercial offers posted on the global network that are associated with criminal manifestations. The use of these scenarios in law enforcement provides an opportunity not only to organize preventive measures to prevent the onset of criminal consequences, but also to disclose previously committed criminal acts.

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