ANALYSIS OF OPEN DATA POSTED ON THE NETWORK IN ORDER TO OBTAIN INFORMATION ABOUT THE CRIME SITUATION
Anna Zharova, Vladimir Elin, Атласов Игорь Викторович · Voprosy kiberbezopasnosti · 2025
The purpose of the article is to propose a method for forming a digital profile of a person, which can be used to analyze and predict the criminogenic situation. Research method: logical and mathematical methods, such as typological model, deterministic model and simulation modeling, are used. In addition, the method of analysis of mathematical models, including the stochastic model, is used, which allows to obtain a more accurate and detailed picture. Result: data analysis systems can be used to extract, analyze, transform and present information that is essential for operational-search and investigative activities. The authors, referring to the existing judicial practice, reveal the importance of communication data for obtaining a digital profile of a person, which formally do not belong to personal data as a category of restricted information. is a mathematical modeling of the criminogenic situation based on the analysis of independent digital data left by the user of the social network. Thus, as a result of the study, patterns have been identified that make it possible to predict the behavior of groups of people who transmit harmful information on the network, or the placement of information of this category. Practical value: on the basis of the theoretical experiment, a conclusion is made about the possibility of using mathematical methods in the criminological analysis of crime.