The depiction of cybercrime victims using data mining techniques

Purpose. Development of a scientific and methodological approach for creating phase depiction cybercrime victim by identifying significant personified characteristics. Methodology. In the process research, methods systematization, comparison, grouping, logical generalization, bibliometric analysis, regression analysis (the method sigma-limited parameterization), algorithm associative rules were used. Findings. According to results it was established that countries with highest rates cyber fraud in field financial services include Luxembourg (15%), France (14%), Great Britain (13%) Denmark (11%) are among. 2020, on average, every 10th resident European Union became when performing transactions. The an empirical using showed 100% analyzed cases among residents, stable patterns found between following parameters: married woman who raises three children, aged 5564 years old person periodically experiences difficulties lives rural area 6574, has children. addition, probability raising children becoming is 87.5%. 71.4% services, close causal relationship traced manual worker cyberattacked through smartphone, cyberattack occurred smartphone. Originality. use profiling technology allows evaluating predicting behavior consumer conditions growing risk based systematization establishment cause-and-effect relationships most informative personalized signs them. Practical value. development probable system threat early stages, immediately reacting it, thus neutralizing or minimizing negative consequences. conducted research will have practical significance management institutions public organizations specialize training level digital literacy citizens.