Skip to main content
SpringerLink
Log in

Probabilistic Approach to Estimate the Cyber Resistance of Mobile Networks Based on Their Connectivity

  • Published:
Automatic Control and Computer Sciences Aims and scope Submit manuscript

Abstract

In the paper, we propose an approach to estimate the cyber resilience of mobile networks based on an estimate of the probability that the network will remain connected in the face of random movement of its nodes. The approach is aimed at countering attacks specific to mobile networks by capturing and impersonating one or more nodes, as a result of which the network loses the ability to perform its target function.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1.
Fig. 2.
Fig. 3.
Fig. 4.
Fig. 5.
Fig. 6.
Fig. 7.
Fig. 8.
Fig. 9.
Fig. 10.
Fig. 11.

REFERENCES

  1. Efremov, S.G., Modeling of lifetime of dynamically reconfigurable sensor networks with mobile drain, Cand. Sci. (Eng.) Dissertation, Moscow, 2013.

  2. Buzyukov, L.B., Okuneva, D.V., and Paramonov, A.I., Problems of building wireless sensor networks, Tr. Uchebn. Zaved. Svyazi, 2017, vol. 3, no. 1, pp. 5–12.

    Google Scholar 

  3. Pavlenko, E.Yu., Systematization of cyber threats to large-scale systems with adaptive network topology, Autom. Control Comput. Sci., 2022, vol. 56, no. 8, pp. 906–915. https://doi.org/10.3103/S0146411622080132

    Article  Google Scholar 

  4. Zegzhda, D.P., Sustainability as a criterion for information security in cyber-physical systems, Autom. Control Comput. Sci., 2016, vol. 50, no. 8, pp. 813–819. https://doi.org/10.3103/s0146411616080253

    Article  Google Scholar 

  5. Dakhnovich, A.D., Moskvin, D.A., and Zegzhda, D.P., Approach for securing network communications modelling based on smart multipath routing, Nonlinear Phenom. Complex Syst., 2020, vol. 23, no. 4, pp. 386–396. https://doi.org/10.33581/1561-4085-2020-23-4-386-396

    Article  Google Scholar 

  6. Pavlenko, E., Zegzhda, D., and Poltavtseva, M., Ensuring the sustainability of cyberphysical systems based on dynamic reconfiguration, 2019 IEEE Int. Conf. on Industrial Cyber Physical Systems (ICPS), Taipei, 2019, IEEE, 2019, pp. 60–64. https://doi.org/10.1109/icphys.2019.8780193

  7. Pavlenko, E. and Zegzhda, D., Sustainability of cyber-physical systems in the context of targeted destructive influences, 2018 IEEE Industrial Cyber-Physical Systems (ICPS), St. Petersburg, 2018, IEEE, 2018, pp. 830–834. https://doi.org/10.1109/icphys.2018.8390814

  8. Poltavtseva, M.A., Zegzhda, D.P., and Kalinin, M.O., Big data management system security threat model, Autom. Control Comput. Sci., 2019, vol. 53, no. 8, pp. 903–913. https://doi.org/10.3103/s0146411619080261

    Article  Google Scholar 

  9. Podobnik, B., Lipic, T., Horvatic, D., Majdandzic, A., Bishop, S.R., and Eugene Stanley, H., Predicting the lifetime of dynamic networks experiencing persistent random attacks, Sci. Rep., 2015, vol. 5, no. 1, p. 14286. https://doi.org/10.1038/srep14286

    Article  ADS  CAS  PubMed  PubMed Central  Google Scholar 

  10. Kucherov, A.V. and Migov, D.A., Calculation of expected coverage area of a wireless sensor network with unreliable nodes, Probl. Informatiki, 2018, no. 3, pp. 21–33.

  11. Page, L.B. and Perry, J.E., A practical implementation of the factoring theorem for network reliability, IEEE Trans. Reliab., 1998, vol. 37, no. 3, pp. 259–267. https://doi.org/10.1109/24.3752

    Article  Google Scholar 

  12. Rebaiaia, M.-L., Ait-Kadi, D., and Merlano, A., A practical algorithm for network reliability evaluation based on the factoring theorem-A case study of a generic radiocommunication system, J. Qual., 2009, vol. 16, no. 5, pp. 323–335.

    Google Scholar 

  13. Paredes, R., Dueñas-Osorio, L., Meel, K.S., and Vardi, M.Y., Principled network reliability approximation: A counting-based approach, Reliab. Eng. Syst. Saf., 2019, vol. 191, p. 106472. https://doi.org/10.1016/j.ress.2019.04.025

    Article  Google Scholar 

  14. Bakhtin, A.A., Development of methods of connectivity methods and quality assurance of service in mobile episodic network with retranslation, Cand. Sci. (Eng.) Dissertation, Moscow, 2009.

  15. Provan, J.S. and Ball, M.O., Computing network reliability in time polynomial in the number of cuts, Oper. Res., 1984, vol. 32, no. 3, pp. 516–526. https://doi.org/10.1287/opre.32.3.516

    Article  MathSciNet  Google Scholar 

Download references

Funding

The work was supported by the President of the Russian Federation for state support of young Russian scientists - candidates of science, grant no. MK-3861.2022.1.6.

Author information

Authors and Affiliations

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

    D. S. Lavrova, V. M. Bogina, D. P. Zegzhda & E. Yu. Pavlenko

Authors
  1. D. S. Lavrova
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. V. M. Bogina
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. D. P. Zegzhda
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. E. Yu. Pavlenko
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to D. S. Lavrova.

Ethics declarations

The authors of this work declare that they have no conflicts of interest.

Additional information

Translated by A. Ivanov

Publisher’s Note.

Allerton Press remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Lavrova, D.S., Bogina, V.M., Zegzhda, D.P. et al. Probabilistic Approach to Estimate the Cyber Resistance of Mobile Networks Based on Their Connectivity. Aut. Control Comp. Sci. 57, 1103–1115 (2023). https://doi.org/10.3103/S0146411623080151

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.3103/S0146411623080151

Keywords:

Search

Navigation