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Automatic Control and Computer Sciences

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01-12-2018

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

Authors: P. D. Zegzhda, D. V. Ivanov, D. A. Moskvin, A. A. Ivanov

Published in: Automatic Control and Computer Sciences | Issue 8/2018

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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.

next article Hierarchical Software-Defined Security Management for Large-Scale Dynamic Networks

Moerov, A.S. and Bel’fer, R.A., Security of self-organizing automobile networks VANET, Elektrosvyaz’, 2012, no. 3.

Moerov, A.S. and Bel’fer, R.A., An information security risk assessment model for the VANET network based on the theory of fuzzy sets, Molodezhnyi Nauchno-Tekh. Vestn. Akad. Inzh. Nauk im. A. M. Prokhorova, 2013, no. 10, p. 47.

Gohale, V., Gosh, S.K., and Gupta, A., Classification of attacks on wireless mobile ad hoc networks and vehicular ad hoc networks, in Security of Self-Organizing Networks: MANET, WSN, WMN, VANET, 2011.

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.CrossRef

Semenov, A.S., Fractal evolutionary architectures, Upr. Bol’shimi Sist., 2010, no. 30-1, pp. 91–103.

Kochkarov, A.A. and Kochkarov, R.A., On planarity and other topological properties of fractal graphs, Preprint of Inst. Appl. Math., Russ. Acad. Sci., Moscow, 2003.

Reznikov, A.V., Study of the properties and recognition of prefractal graphs, Cand. Sci. (Phys.-Math.) Dissertation, Demidov Yaroslavl State University, 2013.

Title: The Use of Adjacency Series for Recognition of Prefractal Graphs in Assessing VANET Cybersecurity
Authors: P. D. Zegzhda
D. V. Ivanov
D. A. Moskvin
A. A. Ivanov
Publication date: 01-12-2018
Publisher: Pleiades Publishing
Published in: Automatic Control and Computer Sciences / Issue 8/2018
Print ISSN: 0146-4116
Electronic ISSN: 1558-108X
DOI: https://doi.org/10.3103/S0146411618080266

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