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The Use of Adjacency Series for Recognition of Prefractal Graphs in Assessing VANET Cybersecurity

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Abstract—

This paper considers the possibility of using prefractal graph theory to ensure information security of Vehicular ad hoc Networks (VANETs) and describes prefractal graph recognition algorithms developed for this purpose.

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ACKNOWLEDGMENTS

This work was supported by the Ministry of Education and Science of the Russian Federation within the Federal Targeted Program “Research and Development of High-Priority Directions of Development of the Scientific–Technological Complex of Russia in 2014–2020 year,” project no. 14.578.21.0224 (RFMEFI57816X0224).

The results of this work were obtained using the computing resources of the Supercomputer Center Polytechnic of the St. Petersburg Polytechnic University (http://www.spbstu.ru).

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Authors and Affiliations

  1. St. Petersburg Polytechnic University, 195251, St. Petersburg, Russia

    P. D. Zegzhda, D. V. Ivanov & D. A. Moskvin

  2. St. Petersburg National Research University of Information Technologies, Mechanics and Optics, 197101, St. Petersburg, Russia

    A. A. Ivanov

Authors
  1. P. D. Zegzhda
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  2. D. V. Ivanov
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  3. D. A. Moskvin
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  4. A. A. Ivanov
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Corresponding authors

Correspondence to P. D. Zegzhda or D. V. Ivanov.

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Translated by O. Pismenov

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Zegzhda, P.D., Ivanov, D.V., Moskvin, D.A. et al. The Use of Adjacency Series for Recognition of Prefractal Graphs in Assessing VANET Cybersecurity. Aut. Control Comp. Sci. 52, 901–905 (2018). https://doi.org/10.3103/S0146411618080266

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  • DOI: https://doi.org/10.3103/S0146411618080266

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