リュウ チュウタツ
Liu Zhongda
劉 忠達 所属 石巻専修大学 理工学部 職種 准教授 |
|
言語種別 | 英語 |
発行・発表の年月 | 2021/12/01 |
形態種別 | 研究論文 |
査読 | 査読あり |
標題 | Chaotic and Random Neural Network Cipher for In-Vehicle Network Security |
執筆形態 | 共著 |
掲載誌名 | IEICE Communications Express |
掲載区分 | 国内 |
出版社・発行元 | IEICE Communications Express |
巻・号・頁 | 10(12),pp.1026-1031 |
担当区分 | 筆頭著者,責任著者 |
著者・共著者 | Zhongda Liu, Takeshi Murakami, Satoshi Kawamura, Hitoaki Yoshida |
概要 | 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. |
DOI | doi.org/10.1587/comex.2021XBL0175 |