Application of an Artificial Neural Network for Detection of Attacks in VANETs
- Авторы: Malyshev E.1, Moskvin D.1, Zegzhda D.1
-
Учреждения:
- Peter the Great St. Petersburg Polytechnic University
- Выпуск: Том 53, № 8 (2019)
- Страницы: 889-894
- Раздел: Article
- URL: https://journals.rcsi.science/0146-4116/article/view/175958
- DOI: https://doi.org/10.3103/S0146411619080194
- ID: 175958
Цитировать
Аннотация
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.
Ключевые слова
Об авторах
E. Malyshev
Peter the Great St. Petersburg Polytechnic University
Автор, ответственный за переписку.
Email: egorpw@yandex.ru
Россия, St. Petersburg, 195251
D. Moskvin
Peter the Great St. Petersburg Polytechnic University
Автор, ответственный за переписку.
Email: moskvin@ibks.spbstu.ru
Россия, St. Petersburg, 195251
D. Zegzhda
Peter the Great St. Petersburg Polytechnic University
Автор, ответственный за переписку.
Email: dmitry@ibks.spbstu.ru
Россия, St. Petersburg, 195251