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JRM Vol.36 No.3 pp. 669-679
doi: 10.20965/jrm.2024.p0669
(2024)

Paper:

Filtering Function to Mitigate the Impact of Cyber Attacks in Cooperative Adaptive Cruise Control

Takuma Fujimoto*, Kenji Sawada* ORCID Icon, Yuki Minami** ORCID Icon, and Katsuhiko Sando***

*The University of Electro-Communications
1-5-1 Chofugaoka, Chofu, Tokyo 182-8585, Japan

**Osaka University
2-1 Yamadaoka, Suita, Osaka 565-0871, Japan

***Nissan Technical Center, Nissan Motor Co., Ltd.
560-2 Okatsukoku, Atsugi, Kanagawa 243-0192, Japan

Received:
December 8, 2023
Accepted:
April 4, 2024
Published:
June 20, 2024
Keywords:
vehicle, CACC, cyber attack, filtering
Abstract

Among automated driving technologies, adaptive cruise control (ACC), which controls the distance between vehicles and their relative speed, is becoming popular. Cooperative ACC (CACC) uses vehicle-to-vehicle communication and sensors to control the distance between vehicles. Recently, cyber attacks against automated driving systems have been a focus, in which information on pedestrians or preceding vehicles obtained from LiDAR and sensors is disguised. Such cyber attacks enable attackers to obtain accurate information on preceding vehicles and pedestrians. This can result in accidents. The purpose of this study is to develop a filtering function to reduce the impact of cyber attacks using available information. The contribution lies in proposing a filtering function for situations in which sensor offsets and communication delays arise owing to cyber attacks.

Optimal filtering for CACC attacks

Optimal filtering for CACC attacks

Cite this article as:
T. Fujimoto, K. Sawada, Y. Minami, and K. Sando, “Filtering Function to Mitigate the Impact of Cyber Attacks in Cooperative Adaptive Cruise Control,” J. Robot. Mechatron., Vol.36 No.3, pp. 669-679, 2024.
Data files:
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Last updated on Jul. 12, 2024