A vehicle-cloud collaborative domain controller security diagnosis system
Patent Information
- Application Number
- CN202611097962.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-07-23
- Publication Date
- 2026-10-16
AI Technical Summary
[0003]第一类为本地全量密钥预置方案:产线阶段将整车所有域控制器、下挂ECU的2701拓展会话密钥、2711编程会话密钥直接预置于外接诊断设备与车内OTA主节点中,车载网关仅承担诊断报文路由转发功能,无鉴权代理与安全隔离能力
[0056]This invention provides a vehicle-cloud collaborative domain controller security diagnostic system, comprising: a vehicle-cloud collaborative key management module, an external diagnostic security interaction module, a hierarchical diagnostic proxy module, and an OTA remote diagnostic proxy module. The vehicle-cloud collaborative key management module is deployed at both the vehicle cloud and production line levels, and is used to securely generate, encrypt, distribute, and inject permanent diagnostic keys into the vehicle during the vehicle production line stage, ensuring that permanent keys are stored in a closed loop only on the vehicle side and do not diffuse to external devices. The external diagnostic security interaction module dynamically issues temporary diagnostic keys with expiration dates to external diagnostic devices, ensuring that permanent keys do not leave the vehicle side and that temporary keys are manageable. The hierarchical diagnostic proxy module constructs a defense-in-depth architecture of gateway level-one proxy and domain controller level-two proxy, blocking the path for external diagnostic devices to directly connect to the underlying ECU. The OTA remote diagnostic proxy module implements hierarchical authentication for in-vehicle OTA diagnostics based on the vehicle-side permanent key, without relying on cloud-based temporary keys, and shares the same key system and proxy architecture with external diagnostics. This invention solves the problems of easy leakage of diagnostic keys, high risk of illegal diagnosis, and fragmented security systems in multiple scenarios in the prior art, significantly improving the safety level of vehicle electronic control diagnosis, and is applicable to intelligent connected vehicles with centralized domain control architecture.