Cybersecurity Problems in the Modern World: Regularities and Prospects

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Abstract

The article considers possible approaches to studying the complex of cybersecurity problems in the modern world, which is characterized by segmentation, anti-globalization trends, aggravation of confrontation between centers of power and, as a consequence, protracted instability (hypervolatility). Particular attention is paid to the issues of defining the term «cybersecurity», the ambiguity and vagueness of the meanings invested in it in various studies, as well as the legal practice of various countries. Based on a critical analysis, the author's approach to interpreting cybersecurity in the context of a hypervolatile environment is proposed. Based on the analysis of the preliminary list of indicators reflecting the level of security of countries in cyberspace, the most significant and representative characteristics are identified. These primarily include the global cybersecurity index (GSI). At subsequent stages of the study, econometric models are proposed that formalize the patterns that affect the dynamics of the GSI. The constructed models allow us to analyze, identify and compare trends in the evolution of cybersecurity in different countries. In particular, the assumption about the influence of hidden factors on cybersecurity that are not explicitly expressed in the traditional system of socio-political indicators of states seems quite realistic.

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About the authors

Anna V. Yakovleva

Herzen State Pedagogical University of Russia

Author for correspondence.
Email: yeif@mail.ru
ORCID iD: 0000-0001-9219-9405
SPIN-code: 4603-0174

Dr. Sci. (Econ.), Professor, Associate Professor

Russian Federation, Saint Petersburg

Pavel V. Konyukhovsky

Herzen State Pedagogical University of Russia

Email: kon_pv@mail.ru
ORCID iD: 0000-0002-2940-1049
SPIN-code: 9637-6933

Dr. Sci. (Econ.), Professor

Russian Federation, Saint Petersburg

References

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Supplementary files

Supplementary Files
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1. JATS XML
2. Fig. 1. Principle scheme for positioning countries in the ‘cybersecurity-cyberhygiene’ context.

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3. Fig. 2. Strategic documents in the sphere of information security.

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4. Fig. 3. General characterisation of the Global Cybersecurity Index (GCI).

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5. Fig. 4. Correlogram of indicators for 2024.

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6. Fig. 5. Ratio of global (GCI) to national cybersecurity indices (NCI).

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7. Fig. 6. Dynamics of places in the ratings calculated on the basis of GSI values, 2021 and 2024.

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8. Fig. 7. Country trends in the dynamics of places in the rankings calculated on the basis of GSI values, 2021 and 2024.

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9. Fig. 8. Dynamics of places in the ratings calculated by HDI values, 2022 and 2024.

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10. Fig. 9. Country trends in the dynamics of places in the rankings calculated by HDI values, 2022 and 2024.

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11. Fig. 10. Dynamics of places in the rankings calculated by ICTDI values, 2023 and 2024.

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12. Fig. 11. Country trends in the dynamics of places in the rankings calculated by ICTDI values, 2023 and 2024.

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13. Fig. 12. Regression model of GlobCybersecInd ~ CityPopul + E_GovDevInd (AIC = 285.2).

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14. Fig. 13. Regression model of GlobCybersecInd ~ CityPopul + E_GovDevInd + AI_ReadInd (AIC = 282.73).

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15. Рис. 14. Регрессионная модель GlobCybersecInd ~ CityPopul + AI_ReadInd (AIC = 283.71).

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16. Fig. 15. Distribution of variance by principal components.

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17. Fig. 16. Initial data (Table 2) in the coordinate system PC1, PC2.

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18. Fig. 17. Regression model of GlobCybersecInd ~ PC1, PC2 (AIC = 289.57).

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19. Fig. 18. Regression model of GlobCybersecInd ~ PC1, PC2, PC3 (AIC = 288.85).

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