Trust-IVN : Proposal for Achieving a Trustworthy In-vehicle Network

The importance of methods for detecting anomalies, such as threats to automotive cybersecurity, in the in-vehicle networks has been increasing. Particularly crucial is the detection of hijackings of vehicle electronic control units (ECUs) by attackers. However, methods for detecting anomalies in hijacked ECUs have not been sufficiently developed. Therefore, this study proposes an ECU hijacking detection method that uses a trust model executed by each ECU. The proposed method aims to detect abnormal behavior by having all ECUs monitor each other. This study demonstrated the ability of the proposed method to detect anomalies in hijacked ECUs and their systems.