Evaluating the Functioning Quality of Data Transmission Networks in the Context of Cyberattacks

Andrey Privalov, Igor Kotenko, Igor Saenko, Natalya Evglevskaya and Daniil Titov
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Andrey Privalov: Electrical Communication Department, Emperor Alexander I Saint-Petersburg State Transport University, 9 Moskovsky pr., St. Petersburg 190031, Russia
Igor Kotenko: Saint-Petersburg Federal Research Center of the Russian Academy of Sciences (SPC RAS) 39, 14 Liniya, 199178 St. Petersburg, Russia
Igor Saenko: Saint-Petersburg Federal Research Center of the Russian Academy of Sciences (SPC RAS) 39, 14 Liniya, 199178 St. Petersburg, Russia
Natalya Evglevskaya: St. Petersburg Signal Academy, 3 Tikhoretsky Ave., 194064 St. Petersburg, Russia
Daniil Titov: Electrical Communication Department, Emperor Alexander I Saint-Petersburg State Transport University, 9 Moskovsky pr., St. Petersburg 190031, Russia

Energies, 2021, vol. 14, issue 16, 1-19

Abstract: Cyberattacks against the elements of technological data transmission networks represent a rather significant threat of disrupting the management of regional electric power complexes. Therefore, evaluating the functioning quality of data transmission networks in the context of cyberattacks is an important task that helps to make the right decisions on the telecommunication support of electric power systems. The known models and methods for solving this problem have limited application areas determined by the admissible packet distribution laws. The paper proposes a new method for evaluating the quality of the functioning of data transmission networks, based on modeling the process of functioning of data transmission networks in the form of a stochastic network. The proposed method removes restrictions on the form of the initial distributions and makes the assumptions about the exponential distribution of the expected time and packet servicing in modern technological data transmission networks unnecessary. The method gives the possibility to evaluate the quality of the network functioning in the context of cyberattacks for stationary Poisson transmission and self-similar traffic, represented by Pareto and Weibul flows models. The obtained evaluation results are in good agreement with the data represented in previously published papers.

Keywords: cyberattack; data transmission network; stochastic network; equivalent function; Laplace–Stieltjes transform; distribution function; functioning quality; delivery time of data packets; jitter; packet loss probability (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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