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SaTC: TTP: Medium: Collaborative: Exposing and Mitigating Security/Safety Concerns of CAVs: A Holistic and Realistic Security Testing Platform for Emerging CAVs

SaTC: TTP: Medium: Collaborative: Exposing and Mitigating Security/Safety Concerns of CAVs: A Holistic and Realistic Security Testing Platform for Emerging CAVs
SaTC:TTP:媒介:协作:暴露和减轻 CAV 的安全/安全问题:针对新兴 CAV 的全面且现实的安全测试平台
批准号:
1930041
负责人:
Zhuoqing Mao
金额:
$82.58万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2019
资助国家:
美国
项目状态:
已结题
起止时间:
2019-10-01 至 2024-09-30

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中文摘要
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英文摘要
Connected and Automated Vehicle (CAV) technologies enable real-time information sharing and driving automation, with the potential of significantly improving safety and efficiency of the transportation system. However, cyber-security threats may compromise the efficiency of infrastructure operations and the safety of passengers, posing a significant challenge for CAV deployment. This collaborative project develops a novel CAV testing platform to address the critical needs for assessing the security and safety concerns of the CAV system in an effective and realistic manner. Hardware manufacturers, software developers, and security service providers in the CAV industry can all leverage such a platform to conveniently and holistically test their products. Moreover, the testing platform can be used for training and education in both academia and industry, and facilitate the development of security best practices and standards in industry.The testing platform provides both offensive and defensive testing services covering three parts of the CAV ecosystem: (1) transportation infrastructure, (2) connected vehicle communication channels, and (3) in-vehicle software platform. It is the first CAV security testing platform supporting cross-component offensive and defensive testing services designed to capture the inter-relationships among the three key components. The project develops testing support by effectively combining techniques in optimization, statistical modeling, machine learning, network emulation, program analysis, and model checking, while supporting innovative use of known defense solutions, including trusted computing hardware, access control policy enforcement, and anomaly detection. The project implements and deploys the testing platform in real-world CAV testbeds and collaborates with industry partners for early adoption.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
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Collaborative Research: CISE: Large: Integrated Networking, Edge System and AI Support for Resilient and Safety-Critical Tele-Operations of Autonomous Vehicles
IMR: MT: xGTracker -- Mobile xG Performance Monitoring and Data Collection Platform to Enable Large-Scale Crowd-Sourced Measurement
CPS: Medium: Collaborative Research: Transforming Connected and Automated Transportation with Smart Networking, Cooperative Sensing, and Edge Computing
SBIR Phase I: Automated Safety/Security Compliance Verification and Enforcement for Autonomous Vehicle Software
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