CMP-SiL:保密多方软件在环仿真框架

Shalabh Jain, Pradeep Pappachan, J. Guajardo, Sven Trieflinger, Indrasen Raghupatruni, T. Huber
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引用次数: 0

摘要

汽车行业系统和软件的复杂性日益增加,再加上分布式开发环境,使得软件在循环(SIL)系统的采用得到了加强,也就是说,传统硬件组件在由虚拟硬件和网络组成的纯虚拟PC/IT环境中进行设计和测试。涉及多个贡献者和编排者的基于云的SiL模拟系统为组织带来了巨大的风险,因为机密模型ip可能会泄露给分布式基础设施中的对手。这可能会对sil系统的大规模采用造成瓶颈。我们提出了一种使用可信计算技术(例如英特尔- sgx)的数据流架构,以保护基于云的SiL环境中的模型和IP。我们说明,这些保护可以被设计成与现有的SiL工具和工作流兼容,修改最少。此外,我们强调了SiL领域中此类安全体系结构未来标准化工作的必要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
CMP-SiL: Confidential Multi Party Software-in-the-Loop Simulation Frameworks
Increasing complexity of systems and software in the automotive industry, coupled with distributed development environments has intensified adoption of Software in the Loop (SIL) systems, i.e. setup where traditional hardware components are designed and tested in pure virtual PC/IT environment consisting of virtualized hardware and networks. Cloud-based SiL simulation systems involving multiple contributors and orchestrators create huge risks for organizations due to potential for leakage of confidential model-IP to adversaries within the distributed infrastructure. This can create a bottleneck for wide-scale adoption of SiL-systems. We propose a data-flow architecture using trusted-computing technologies (e.g. Intel-SGX) to protect models and IP in cloud-based SiL environments. We illustrate that these protections can be designed to be compatible with existing SiL tools and workflows with minimal modifications. Further, we highlight the need for future standardization efforts of such security architectures in the SiL domain.
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