Application of an Artificial Neural Network for Detection of Attacks in VANETs

Application of an Artificial Neural Network for Detection of Attacks in VANETs

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...

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Veröffentlicht in:Automatic control and computer sciences 2019-12, Vol.53 (8), p.889-894
Hauptverfasser: Malyshev, E. V., Moskvin, D. A., Zegzhda, D. P.
Format: Artikel
Sprache:eng
Schlagworte:
Artificial neural networks
Computer Science
Control Structures and Microprogramming
Mobile ad hoc networks
Neural networks
Software
Vehicles
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Zusammenfassung: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.
ISSN:0146-4116
1558-108X
DOI:10.3103/S0146411619080194