IEICE Communications Express
Online ISSN : 2187-0136
ISSN-L : 2187-0136
Regular Section
Chaotic and random neural network cipher for in-vehicle network security
Zhongda LiuTakeshi MurakamiSatoshi KawamuraHitoaki Yoshida
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2021 Volume 10 Issue 12 Pages 1026-1031


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.

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© 2021 The Institute of Electronics, Information and Communication Engineers
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