Abstract
The paper builds a regression model of the influence of the US gross domestic product, as well as the number of data breaches and exposed records, on the damage from cybercrimes. The parameters of this model represent a compromise Pareto estimate in the problem of minimizing the vector loss function. In identifying the parameters of the model, the method of least squares and minimization of the vector loss function are used. To improve the adequacy of the model, a compo-site variable is used that summarizes indicators characterizing the stolen information. The US statis-tical data for 2005–2019 is used as an information base for the model.
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