论文标题
连接和自动化车辆数据和软件保证的分布式“黑匣子”审核步道设计规范
A Distributed `Black Box' Audit Trail Design Specification for Connected and Automated Vehicle Data and Software Assurance
论文作者
论文摘要
汽车软件越来越复杂，对于安全车辆操作而言至关重要，相关的嵌入式系统必须保持最新状态，以确保长期的系统性能。更新机制和数据修改工具为恶意参与者提供了损害这些网络物理系统的机会，并使受信任的参与者错误地安装不兼容的软件版本。提出了针对汽车软件和数据出处的分布式和分层的“黑匣子”审核步道，以确保用户，服务提供商和原始设备制造商（OEM）对车辆软件的完整性和可靠性。拟议的黑匣子体系结构既分层又分散，采用分布式的哈希表（DHT），奇偶校验系统和公共区块链，可为自动动力和其他高保险系统提供高弹性，保证，可扩展性和效率。
Automotive software is increasingly complex and critical to safe vehicle operation, and related embedded systems must remain up-to-date to ensure long-term system performance. Update mechanisms and data modification tools introduce opportunities for malicious actors to compromise these cyber-physical systems, and for trusted actors to mistakenly install incompatible software versions. A distributed and stratified "black box" audit trail for automotive software and data provenance is proposed to assure users, service providers, and original equipment manufacturers (OEMs) of vehicular software integrity and reliability. The proposed black box architecture is both layered and diffuse, employing distributed hash tables (DHT), a parity system and a public blockchain to provide high resilience, assurance, scalability, and efficiency for automotive and other high-assurance systems.
