Collaborative Research: CCRI: NEW: Open Community Platform for Sharing Vehicle Telematics Data for Research and Innovation

合作研究：CCRI：新：共享车辆远程信息处理数据以促进研究和创新的开放社区平台

• 批准号: 2245323
• 负责人: David Balenson
• 金额: $ 41.24万
• 依托单位: University of Southern California
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-10-01 至 2025-09-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2245323&HistoricalAwards=false
• 关键词: Collaborative; Research; CCRI; NEW; Open

The University of Memphis, Colorado State University, and SRI International are collaborating with commercial telematics service provider Geotab to build PIVOT (Platform for Innovative use of Vehicle Open Telematics), a community-based platform intended to catalyze the production and consumption of automotive and heavy duty datasets and associated tools to support the CISE community pursuing research in vehicle system cybersecurity, intelligent transportation, and smart and connected communities. The platform component of PIVOT is the hardware and software infrastructure needed to host the datasets, tools, and services. PIVOT will provide the CISE community with in-vehicle datasets, telematics data, an open source data repository, and new open source tools to help collect, process, and analyze data. The user services will employ existing privacy controls as well as enable researchers to further advance privacy approaches using PIVOT datasets.The PIVOT system contains five pillars of merit: (a) a robust and reliable hardware/software platform upon which the system runs, (b) the curation and sharing of the data and contextual information, (c) researcher-centric services for sharing, securing, and evaluating datasets, (d) common software-based tooling to collect, transform, combine, filter, and visualize the data, and (e) extensive community outreach and engagement to improve the data utility using design feedback mechanisms. The community will benefit from access to new, hard-to-get CAN and telematics datasets, new tools and tool add-ons to enhance researcher capabilities, and telematics from millions of vehicles through our commercial collaborator. The project will also strengthen the community by providing a forum to exchange ideas and resources, and help researchers form and expand collaboration teams.The community component of PIVOT focuses on engagement, outreach, and feedback to create a synergistic system to support research efforts. Successful execution of this project will result in new datasets and tools available to the CISE community that will enable new, innovative research in automotive and transportation-related areas, and strengthen the research community through collaborations built around common datasets, tools, and industry involvement. PIVOT will provide artifacts to educate the next generation of automotive cyber engineers through classes in computer science (networking, security, machine learning, digital forensics) as well as classes in transportation and smart and connected communities. The project will emphasize diversity through efforts targeting minority institutions and underrepresented groups and by reaching out to students participating in the industry-sponsored CyberAuto and CyberTruck Challenge events. PIVOT will organize annual workshops to build and enhance community and support strong advances in automotive security, smart transportation, smart cities and communities, security, safety, privacy, sustainability, and energy. PIVOT will be hosted at http://pivot-auto.org for the foreseeable future.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.

孟菲斯大学、科罗拉多州立大学和 SRI International 正在与商业远程信息处理服务提供商 Geotab 合作构建 PIVOT（车辆开放式远程信息处理创新使用平台），这是一个基于社区的平台，旨在促进汽车和重型汽车的生产和消费值班数据集和相关工具，支持 CISE 社区在车辆系统网络安全、智能交通以及智能互联社区方面进行研究。 PIVOT 的平台组件是托管数据集、工具和服务所需的硬件和软件基础设施。 PIVOT 将为 CISE 社区提供车载数据集、远程信息处理数据、开源数据存储库以及新的开源工具，以帮助收集、处理和分析数据。用户服务将采用现有的隐私控制，并使研究人员能够使用 PIVOT 数据集进一步推进隐私方法。PIVOT 系统包含五个优点支柱：(a) 系统运行的强大且可靠的硬件/软件平台，(b) ）数据和背景信息的管理和共享，（c）以研究人员为中心的共享、保护和评估数据集的服务，（d）基于通用软件的工具来收集、转换、组合、过滤和可视化数据， (e) 广泛的社区外展和参与，利用设计反馈机制提高数据效用。社区将受益于访问新的、难以获得的 CAN 和远程信息处理数据集、新工具和工具附加组件以增强研究人员的能力，以及通过我们的商业合作伙伴从数百万辆汽车获得的远程信息处理。该项目还将通过提供交流思想和资源的论坛来加强社区，并帮助研究人员组建和扩大合作团队。PIVOT 的社区组成部分侧重于参与、外展和反馈，以创建一个协同系统来支持研究工作。该项目的成功执行将为 CISE 社区提供新的数据集和工具，从而促进汽车和交通相关领域的新的创新研究，并通过围绕通用数据集、工具和行业参与建立的合作来加强研究社区。 PIVOT 将提供工件，通过计算机科学（网络、安全、机器学习、数字取证）课程以及交通和智能互联社区课程来教育下一代汽车网络工程师。该项目将通过针对少数群体机构和代表性不足群体的努力以及接触参加行业赞助的 Cyber​​Auto 和 Cyber​​Truck 挑战赛的学生来强调多样性。 PIVOT 将组织年度研讨会，以建立和加强社区，并支持汽车安全、智能交通、智能城市和社区、安全、隐私、可持续性和能源领域的强劲进步。在可预见的未来，PIVOT 将在 http://pivot-auto.org 上主办。该奖项反映了 NSF 的法定使命，并且通过使用基金会的智力优点和更广泛的影响审查标准进行评估，被认为值得支持。