A Distributed “Black Box” Audit Trail Design Specification for Connected and Automated Vehicle Data and Software Assurance
A Distributed “Black Box” Audit Trail Design Specification for Connected and Automated Vehicle Data and Software Assurance
复制标题
用于互联和自动化车辆数据和软件保障的分布式“黑匣子”审计跟踪设计规范
DOI：
--
复制
发表时间：
2020
期刊：
影响因子：
--
通讯作者：
J. Siegel
中科院分区：
文献类型：
--
作者：
Gregory Falco;J. Siegel
汽车软件变得越来越复杂，对于车辆安全运行至关重要，相关嵌入式系统必须保持最新状态，以确保系统的长期性能。更新机制和数据修改工具为恶意行为者带来了破坏这些网络物理系统的机会，也为受信任的行为者带来了错误安装不兼容软件版本的机会。提出了一种针对汽车软件和数据来源的分布式分层“黑匣子”审计跟踪，以确保用户、服务提供商和原始设备制造商 (OEM) 的车辆软件完整性和可靠性。所提出的黑盒架构既分层又分散，采用分布式哈希表（DHT）、奇偶校验系统和公共区块链，为汽车和其他高保证系统提供高弹性、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.