CRII: CPS: Design of Secure and Dependable Next Generation Automotive Cyber-Physical Systems

CRII：CPS：安全可靠的下一代汽车网络物理系统的设计

• 批准号: 1564801
• 负责人: Arslan Munir
• 金额: $ 17.44万
• 依托单位: Board of Regents, NSHE, obo University of Nevada, Reno
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-04-01 至 2017-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1564801&HistoricalAwards=false
• 关键词: CRII; CPS; Design; Secure; Dependable

The next generation of automobiles will further escalate the proliferation of electronic control units (ECUs) to enable new and exciting control and infotainment applications. Although the use of electronic embedded systems improves performance, driving comfort, safety, and economy for the customer; this electronic control of automotive systems makes these systems susceptible to permanent, transient, and intermittent electronic failures, which can significantly reduce the reliability and availability of these systems. In addition, recent work has demonstrated vulnerability of modern car control systems to security attacks that directly impact the automobile's physical safety and dependability. The novel aspect of this research program is the simultaneous integration of security and dependability while minimizing energy consumption and ensuring that real-time constraints of the application are not violated. The dependability and security approaches proposed in this project are also applicable to other CPS, such as transit vehicles, industrial automation, manned and unmanned air vehicles, and medical monitoring. Energy-efficient security and dependability integration, as pursued in this research program, further implies greater fuel-efficiency for combustion engine vehicles (in particular, aerial vehicles) and longer battery lifer for hybrid and electric vehicles.To address the research challenge of simultaneous security and dependability integration while minimizing energy consumption, this research program proposes to leverage multicore ECUs to achieve high reliability with low energy-overhead for automotive safety-critical functions. The research program consists of two modular but inter-linked thrusts. In the first thrust, the project aims to develop a novel dependability methodology that would enable quick error detection and correction (QEDC) via an optimized combination of comparison-points and lightweight checkpointing to better meet the application's real-time constraints even in the presence of faults. The proposed dependability methodology aspires to attain energy-efficient fault tolerance by an intelligent use of dynamic voltage and frequency scaling (DVFS). The second thrust aims to develop an integrated safety and security methodology that would integrate security primitives: confidentiality, integrity, and authentication over vehicular networks in an energy-efficient manner without violating the real-time constraints imposed by the maximum tolerable response time of cyber-physical applications. The project further aims to adapt safety and security parameters (e.g., number of comparison points for QEDC, number of checkpoints, key lengths for cryptographic algorithms and message authentication codes) to meet the application's real-time requirements under changing environmental stimuli (e.g., transient fault rate and vehicular bus load).

下一代汽车将进一步促进电子控制单元 (ECU) 的普及，以实现令人兴奋的新控制和信息娱乐应用。尽管电子嵌入式系统的使用提高了客户的性能、驾驶舒适性、安全性和经济性；汽车系统的这种电子控制使这些系统容易受到永久性、瞬态和间歇性电子故障的影响，从而显着降低这些系统的可靠性和可用性。此外，最近的研究表明，现代汽车控制系统容易受到安全攻击，直接影响汽车的物理安全性和可靠性。该研究计划的新颖之处在于同时集成安全性和可靠性，同时最大限度地减少能耗并确保不违反应用程序的实时约束。该项目提出的可靠性和安全性方法也适用于其他 CPS，例如运输车辆、工业自动化、有人和无人机以及医疗监控。本研究计划追求的节能安全性和可靠性集成进一步意味着内燃机车辆（特别是飞行器）的燃油效率更高，混合动力和电动车辆的电池寿命更长。 解决同时安全的研究挑战和可靠性集成，同时最大限度地减少能耗，该研究计划建议利用多核 ECU 以低能耗实现汽车安全关键功能的高可靠性。该研究计划由两个模块化但相互关联的主旨组成。第一个目标是开发一种新颖的可靠性方法，通过比较点和轻量级检查点的优化组合来实现快速错误检测和纠正（QEDC），以更好地满足应用程序的实时约束，即使存在缺点。所提出的可靠性方法旨在通过智能使用动态电压和频率缩放（DVFS）来实现节能容错。第二个重点旨在开发一种集成的安全和安保方法，该方法将集成安全原语：以节能的方式通过车辆网络进行机密性、完整性和身份验证，而不违反网络的最大可容忍响应时间所施加的实时约束。物理应用。该项目进一步旨在调整安全和安保参数（例如，QEDC 的比较点数量、检查点数量、加密算法和消息认证码的密钥长度），以满足不断变化的环境刺激（例如，瞬态）下应用程序的实时要求。故障率和车辆总线负载）。