The growing reliance on software in road vehicles has led to the emergence of Software-Defined Vehicles (SDV). This work analyzes SDV security and privacy through a systematic literature review complemented by an industry questionnaire across the automotive supply chain. The analysis is structured as four research questions and results in a security framework serving as a roadmap for SDV protection. The findings emphasize addressing mixed-criticality architectural challenges, deploying layered security mechanisms, and integrating privacy-preserving techniques. The results highlight the need to harmonize in-vehicle and cloud-based defenses to strengthen cybersecurity and V2X resilience in Intelligent Transportation Systems (ITS).

翻译：道路车辆对软件的日益依赖催生了软件定义车辆（SDV）的兴起。本研究通过系统文献综述并辅以覆盖汽车供应链的行业问卷，分析了SDV的安全与隐私问题。分析以四个研究问题为框架，最终形成了一份指导SDV保护的安全路线图。研究结果强调应应对混合关键性架构挑战、部署分层安全机制，并集成隐私保护技术。结论凸显了在智能交通系统（ITS）中协调车载与云端防御以增强网络安全与V2X弹性的必要性。