控制器局域网中具有亚微秒精度的安全时间同步

IF 11.7 1区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS
Adrian Musuroi;Bogdan Groza
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引用次数: 0

摘要

在本文中,我们在CAN-FD上使用符合autosar的时间同步协议实现亚微秒精度。除此之外,我们还发现了AUTOSAR CanTSyn标准上的两种攻击,双重重放和预测,并对它们进行了设计修复。为了以最小的计算和通信开销确定参与者时钟之间的正确比率,测试了几种简单有效的算法,例如加权学习,窗口和连续平均。我们还指出,在如此高的同步精度水平下,使用简单或双精度浮点数对某些算法的时钟比进行编码时可能存在显着差异。我们的方法还利用了直接内存访问子系统,而不是在协议执行期间的CPU中断,这减少了处理器负载,使解决方案适用于实时系统。我们通过将提议的协议部署在使用英飞凌Aurix开发板的汽车级设置上,在实际场景中对其进行评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Secure Time Synchronization With Submicrosecond Accuracy in Controller Area Networks
In this article, we achieve submicrosecond accuracy with an AUTOSAR-compliant time synchronization protocol on CAN-FD. In addition to this, we discover two attacks, double replays and forecasting, on the AUTOSAR CanTSyn standard and design fixes for them. Several simple and efficient algorithms are tested, e.g., weighted learning, windowed, and continuous averaging, in order to determine the correct ratio between participants' clocks with minimal computational and communication overheads. We also point out that, at such a high level of synchronization accuracy, there may be significant differences when using simple or double precision floats for encoding the clock ratio with some of the algorithms. Our approach also exploits the direct memory access subsystem instead of CPU interrupts during protocol executions, which reduces the processor load, making the solution suitable for real-time systems. We evaluate the proposed protocol in a realistic scenario by deploying it on an automotive-grade setup with Infineon Aurix development boards.
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来源期刊
IEEE Transactions on Industrial Informatics
IEEE Transactions on Industrial Informatics 工程技术-工程:工业
CiteScore
24.10
自引率
8.90%
发文量
1202
审稿时长
5.1 months
期刊介绍: The IEEE Transactions on Industrial Informatics is a multidisciplinary journal dedicated to publishing technical papers that connect theory with practical applications of informatics in industrial settings. It focuses on the utilization of information in intelligent, distributed, and agile industrial automation and control systems. The scope includes topics such as knowledge-based and AI-enhanced automation, intelligent computer control systems, flexible and collaborative manufacturing, industrial informatics in software-defined vehicles and robotics, computer vision, industrial cyber-physical and industrial IoT systems, real-time and networked embedded systems, security in industrial processes, industrial communications, systems interoperability, and human-machine interaction.
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