Vergasov A.S. Some mathematical models of cyber attacker behavior // Informacionnye tehnologii i matematicheskoe modelirovanie v upravlenii slozhnymi sistemami: elektronnyj nauchnyj zhurnal [Information technology and mathematical modeling in the man-agement of complex systems: electronic scientific journal], 2023. No. 1(17). P. 41-48. DOI: 10.26731/2658‑3704.2023.1(17).41-48 [Accessed 31/03/23]
10.26731/2658 3704.2023.1(17).41-48
The paper proposes possible variants of mathematical models of cyber-attack behavior of an intruder. The basis of the research is the apparatus of regression analysis with the use of grouping of independent factor models.
1. Amount of monetary damage caused by reported cyber crime to the IC3 from 2001 to 2021 [electronic resource] https://www.statista.com/statistics/267132/total-damage-caused-by-by-cyber-crime-in-the-us/ [Accessed 27/01/2022].
2. Incoming complaints about internet crime on the IC3 website from 2000 to 2021 [electronic resource] https://www.statista.com/statistics/267546/number-of-complaints-about-us-internet-crime/ [Accessed 27/01/2022].
3 Size of cyber security market worldwide from 2019 to 2030 [electronic resource] https://www.statista.com/statistics/1256346/worldwide-cyber-security-market-revenues/ [Accessed 27/01/2022].
4. Managed security services industry overview [electronic resource] https://www.mordorintelligence.com/industry-reports/security-managed-services-market [Accessed 27/01/2022].
5. 2023 Global Digital Trust Insights India edition [electronic resource] https://www.pwc.in/assets/pdfs/consulting/cyber-security/2023-global-digital-trust-insights-v1.pdf [Accessed 27/01/2022].
6. Who makes security solution architecture product decisions? [electronic resource] https://www.statista.com/statistics/1238357/it-security-solution-product-decision-team/ [Accessed 27/01/2022].
3. Vergasov A.S. Behavioral models of cybercriminals // Informacionnye tehnologii i matematicheskoe modelirovanie v upravlenii slozhnymi sistemami: ehlektronnyj nauchnyj zhurnal [Information technology and mathematical modeling in the management of complex systems: electronic scientific journal], 2020. No. 1(6). P. 44-51.
4. Bazilevsky M.P., Vergasov A.S., Noskov S.I. Gruppovoy otbor informativnykh peremennykh v regressionnykh modelyakh [Group selection of informative variables in regression models]. Yuzhno-sibirskiy nauchnyy vestnik [South Siberian Scientific Bulletin]. Barnaul, 2019, No. 4 (28), pp. 36-39.
5. Noskov S.I., Vergasov A.S. Prognozirovaniye po regressionnoy modeli s primeneniyem elementov teorii skhodstva [Prediction by a regression model using elements of the similarity theory] Doklady Tomskogo gosudarstvennogo universiteta sistem upravleniya i radioelektroniki [Reports of Tomsk State University of Control Systems and Radioelectronics]. Tomsk, 2019, T. 22. no. 3, pp. 67-70.
6. Noskov S.I., Vergasov A.S., Glukhov N.I. Analiz mer skhodstva pri ispol'zovanii vzveshennogo metoda naimen'shikh kvadratov [Analysis of similarity measures using the weighted least squares method] Informatsionnyye tekhnologii i matematicheskoye modelirovaniye v upravlenii slozhnymi sistemami [Information technology and mathematical modeling in the management of complex systems]. Irkutsk, 2019, no. 2 (3), pp. 12-17.
7. Noskov S.I., Vergasov A.S. Realizatsiya vzveshennogo metoda naimen'shikh kvadratov s ispol'zovaniyem mer skhodstva [Implementation of the weighted least squares method using measures of similarity”]. Vestnik nauki i obrazovaniya. [Bulletin of science and education]. Ivanovo, 2018, no. 18-1 (54), pp. 29-32.
8. Kreinovich V., Lakeyev A.V., Noskov S.I .. Approximate linear algebra is intractable Linear Algebra and its Applications,1996, T. 232, no. 1-3. pp. 45-54. 8-1 (54), pp. 29-32.
9. Noskov S.I. Vostochno-Sibirskiy institut Ministerstva vnutrennikh del Rossiyskoy Federatsi [The point characterization of the Pareto set in a linear multicriteria problem] Sovremennyye tekhnologii. Sistemnyy analiz. Modelirovaniye. [Modern Technologies. System analysis. Modeling.] Irkutsk, 2008, no. 1 (17), pp. 99-101.
10. Lakeev A.V., Noskov S.I. Metod naimen'shikh moduley dlya lineynoy regressii: chislo nulevykh oshibok approksimatsii [The least module method for linear regression: the number of zero approximation errors] Sovremennyye tekhnologii. Sistemnyy analiz. Modelirovaniye. [Modern Technologies. System analysis. Modeling.] Irkutsk, 2012, no. 2 (34), pp. 48-50.
11. Noskov S.I. Kriteriy "soglasovannost' povedeniya" v regressionnom analize [The criterion of" consistency of behavior "in the regression analysis"] Sovremennyye tekhnologii. Sistemnyy analiz. Modelirovaniye. [Modern technologies. System analysis. Modeling.] Irkutsk, 2013, no. 1 (37), pp. 107-110.
12. Noskov S.I., Bazilevsky M.P. Mnozhestvennoye otsenivaniye parametrov i kriteriyev soglasovaniya povedeniya v regressionnom analize [Multiple estimation of parameters and criteria for matching behavior in regression analysis] // Vestnik Irkutskogo gosudarstvennogo tekhnicheskogo universiteta. [Bulletin of the Irkutsk State Technical University.] Irkutsk, 2018, T. 22, no. 4 (135). pp. 101-110.