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Immunization of Complex Networks: System of Differential Equations and Dynamic Variation

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Abstract

This article discusses new approaches to constructing immunization models of modern computer networks, with a central focus on a P2P static model, a compartmental model, and models of dynamic representation of alternating and growing graphs. The models are considered in terms of their main advantages and areas of application, specifics of application, and novelty.

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Funding

This study was performed as part of a grant from the President of the Russian Federation for the state support of young Russian scientists and candidates of sciences (no. MK-3861.2022.1.6).

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Authors and Affiliations

  1. Peter the Great St. Petersburg Polytechnic University, 195251, St. Petersburg, Russia

    E. Yu. Pavlenko & A. D. Fatin

Authors
  1. E. Yu. Pavlenko
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  2. A. D. Fatin
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Correspondence to E. Yu. Pavlenko.

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The authors declare that they have no conflicts of interest.

Additional information

Translated by A. Ovchinnikova

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Pavlenko, E.Y., Fatin, A.D. Immunization of Complex Networks: System of Differential Equations and Dynamic Variation. Aut. Control Comp. Sci. 56, 942–946 (2022). https://doi.org/10.3103/S0146411622080144

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  • DOI: https://doi.org/10.3103/S0146411622080144

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