The actual task of analyzing and predicting the dynamics of the main
crime indicators in the field of computer information is investigated. The registered
values of the key parameters from the official statistics of the Ministry of
the Interior are considered as indicators. To solve the problem, mathematical
software is proposed based on the principles of system dynamics. The proposed
complexes of models include causal matrices reflecting direct and inverse
relationships between the variables in question, and systems of nonlinear differential
equations. Causal matrices are based on the study of the correlation of
the values of the variables in question, given from statistics. Systems of differential
equations are built on the basis of cause-effect matrices and principles
of system dynamics. The solution of these systems of differential equations by
approximate methods makes it possible to analyze trends and make predictions
of the values of the variables in question at different time intervals with fairly
high accuracy. Experiments with the developed models will allow us to quantify
the effect of various factors on the growth or decrease in crime in the field of
computer information. The use of the developed software is shown in an
example that compares the effect of the number of sentences and new legislation
on reducing the number of computer crimes. The results are intended to support
decision-making on combating crime in the field of computer information.