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/lp/springer-journals/the-use-of-adjacency-series-for-recognition-of-prefractal-graphs-in-0R2FSYzL0s
- Publisher
- Springer Journals
- Copyright
- Copyright © 2018 by Allerton Press, Inc.
- Subject
- Computer Science; Control Structures and Microprogramming
- ISSN
- 0146-4116
- eISSN
- 1558-108X
- DOI
- 10.3103/S0146411618080266
- Publisher site
- See Article on Publisher Site
Abstract
ISSN 0146-4116, Automatic Control and Computer Sciences, 2018, Vol. 52, No. 8, pp. 901–905. © Allerton Press, Inc., 2018. Original Russian Text © P.D. Zegzhda, D.V. Ivanov, D.A. Moskvin, A.A. Ivanov, 2018, published in Problemy Informatsionnoi Bezopasnosti, Komp’yuternye Sistemy. The Use of Adjacency Series for Recognition of Prefractal Graphs in Assessing VANET Cybersecurity a, a, a b P. D. Zegzhda *, D. V. Ivanov **, D. A. Moskvin , and A. A. Ivanov St. Petersburg Polytechnic University, St. Petersburg, 195251 Russia St. Petersburg National Research University of Information Technologies, Mechanics and Optics, St. Petersburg, 197101 Russia *e-mail: zeg@ibks.ftk.spbstu.ru **e-mail: 9361023@gmail.com Received March 12, 2018 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 algo- rithms developed for this purpose. Keywords: wireless ad hoc networks, vehicular ad hoc networks, VANETs, prefractal graphs, self-similarity DOI: 10.3103/S0146411618080266 Information technologies have long penetrated into different spheres of human life. Almost any mod- ern business process is automated and performed by a computer. Workf low, logistics, funds transfer, engi- neering processes, etc., are already controlled by computer systems. This trend is continuing, and the scale of all-around automation
Journal
Automatic Control and Computer Sciences – Springer Journals
Published: Mar 7, 2019