Cited 1 time in webofscience Cited 3 time in scopus

CNN-Based Adaptive Source Node Identifier for Controller Area Network (CAN)

Title
CNN-Based Adaptive Source Node Identifier for Controller Area Network (CAN)
Authors
Jeong, WoojinHan, SungminChoi, EunminLee, SeonghunChoi, Ji-Woong
DGIST Authors
Lee, SeonghunChoi, Ji-Woong
Issue Date
2020-11
Citation
IEEE Transactions on Vehicular Technology, 69(11), 13916-13920
Type
Article
Article Type
Article
Author Keywords
ProtocolsFeature extractionAuthenticationTransmittersConvolutionNeural networksController area network (CAN)convolution neural network (CNN)source identificationin-vehicle network (IVN)security
Keywords
AUTHENTICATION
ISSN
0018-9545
Abstract
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.
URI
http://hdl.handle.net/20.500.11750/12557
DOI
10.1109/TVT.2020.3016352
Publisher
Institute of Electrical and Electronics Engineers
Related Researcher
Files:
There are no files associated with this item.
Collection:
Division of Automotive Technology1. Journal Articles
Department of Information and Communication EngineeringCSP(Communication and Signal Processing) Lab1. Journal Articles


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