Application of an Artificial Neural Network for Detection of Attacks in VANETs
- Authors: Malyshev E.V.1, Moskvin D.A.1, Zegzhda D.P.1
-
Affiliations:
- Peter the Great St. Petersburg Polytechnic University
- Issue: Vol 53, No 8 (2019)
- Pages: 889-894
- Section: Article
- URL: https://journals.rcsi.science/0146-4116/article/view/175958
- DOI: https://doi.org/10.3103/S0146411619080194
- ID: 175958
Cite item
Abstract
This work contains results of developing an approach for detecting routing attacks in VANET networks using an artificial neural network. In the course of this work, such research methods as analysis and modeling were used to select the most promising approach for identifying routing attacks, as well as to develop a mock-up of a software system that detects Gray Hole attacks in VANETs. According to the results of experimental studies, the effectiveness of the developed software was evaluated.
Keywords
About the authors
E. V. Malyshev
Peter the Great St. Petersburg Polytechnic University
Author for correspondence.
Email: egorpw@yandex.ru
Russian Federation, St. Petersburg, 195251
D. A. Moskvin
Peter the Great St. Petersburg Polytechnic University
Author for correspondence.
Email: moskvin@ibks.spbstu.ru
Russian Federation, St. Petersburg, 195251
D. P. Zegzhda
Peter the Great St. Petersburg Polytechnic University
Author for correspondence.
Email: dmitry@ibks.spbstu.ru
Russian Federation, St. Petersburg, 195251