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CNN-Based Adaptive Source Node Identifier for Controller Area Network (CAN)
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DOI：10.1109/TVT.2020.3016352.png)
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Abstract
En 中文
The controller area network (CAN) is the de facto standard for in-vehicle networks. Numerous vehicles are equipped with a CAN for the networking of electronic control units. Since the CAN has no intrinsic secured identification protocol, however, it is vulnerable to security attacks. In this paper, we propose a convolution neural network (CNN)-based message source identifier. Since the proposed scheme uses the physical characteristics of the CAN bus channel, it can be implemented without modification of the CAN protocol.
Keywords:
Protocols
Feature extraction
Authentication
Transmitters
Convolution
Neural networks
Controller area network (CAN)
convolution neural network (CNN)
source identification
in-vehicle network (IVN)
security
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