Detection and Identification of Malicious Cyber-Attacks in Connected and Automated Vehicles’ Real-Time Sensors

Detection and Identification of Malicious Cyber-Attacks in Connected and Automated Vehicles’ Real-Time Sensors

Connected and automated vehicles (CAVs) as a part of Intelligent Transportation Systems (ITS) are projected to revolutionise the transportation industry, primarily by allowing real-time and seamless information exchange of vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I). However, these...

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Bibliographic Details
Main Authors: Elvin Eziama, Faroq Awin, Sabbir Ahmed, Luz Marina Santos-Jaimes, Akinyemi Pelumi, Danilo Corral-De-Witt
Format: Article
Language:English
Published: MDPI AG 2020-11-01
Series:Applied Sciences
Subjects:
connected and automated vehicles
discrete wavelet transform
intelligent transportation system
Bayesian deep learning
convolution neural network
Online Access:https://www.mdpi.com/2076-3417/10/21/7833

Internet

https://www.mdpi.com/2076-3417/10/21/7833

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