Chaotic and random neural network cipher for in-vehicle network security

With the proliferation of automotive electronic devices, electronic control units are increasingly used to share information within in-vehicle networks. This induces a range of security risks, such as information disclosure, spoofing, and tampering. In this paper, we propose a symmetric-key cipher....

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Bibliographic Details
Published in:IEICE COMMUNICATIONS EXPRESS 2021/12/01, Vol.10(12), pp.1026-1031
Main Authors: Liu, Zhongda, Murakami, Takeshi, Kawamura, Satoshi, Yoshida, Hitoaki
Format: Article
Language:English
Subjects:
ID-based cryptography
in-vehicle network
network security
network system
symmetric key cryptography
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Summary:With the proliferation of automotive electronic devices, electronic control units are increasingly used to share information within in-vehicle networks. This induces a range of security risks, such as information disclosure, spoofing, and tampering. In this paper, we propose a symmetric-key cipher. The method generates pseudo-random numbers using a chaotic and random neural network, and encrypts and decrypts frame messages of in-vehicle networks based on the symmetric key. We also propose a lightweight ID-based key sharing protocol. We evaluated the key sharing, encryption, and decryption in Controller Area Network.
ISSN:2187-0136
2187-0136
DOI:10.1587/comex.2021XBL0175