Application of an Artificial Neural Network for Detection of Attacks in VANETs
- 作者: Malyshev E.V.1, Moskvin D.A.1, Zegzhda D.P.1
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隶属关系:
- Peter the Great St. Petersburg Polytechnic University
- 期: 卷 53, 编号 8 (2019)
- 页面: 889-894
- 栏目: Article
- URL: https://journals.rcsi.science/0146-4116/article/view/175958
- DOI: https://doi.org/10.3103/S0146411619080194
- ID: 175958
如何引用文章
详细
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.
作者简介
E. Malyshev
Peter the Great St. Petersburg Polytechnic University
编辑信件的主要联系方式.
Email: egorpw@yandex.ru
俄罗斯联邦, St. Petersburg, 195251
D. Moskvin
Peter the Great St. Petersburg Polytechnic University
编辑信件的主要联系方式.
Email: moskvin@ibks.spbstu.ru
俄罗斯联邦, St. Petersburg, 195251
D. Zegzhda
Peter the Great St. Petersburg Polytechnic University
编辑信件的主要联系方式.
Email: dmitry@ibks.spbstu.ru
俄罗斯联邦, St. Petersburg, 195251
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