CT-ER: TrusT-US: Trustworthy Transportation Ubiquitous Systems

CT-ER：TrusT-US：值得信赖的运输无处不在的系统

• 批准号: 0716527
• 负责人: Huirong Fu
• 金额: $ 25万
• 依托单位: Oakland University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-07-15 至 2011-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0716527&HistoricalAwards=false
• 关键词: CT; ER; TrusT; US; Trustworthy

The US Department of Transportation reports more than 1.8 million intersection crashes per year. In 2003, there were 42,643 fatalities. Europe reports similar statistics with 1.7 critical injuries and 40,000 fatalities per year. The annual costs associated with traffic accidents total nearly 3 percent of the world's gross domestic product (GDP) and are bound to increase with the growth of the number of vehicles. The potential of Intelligent Transportation Systems and Vehicular Networks in saving lives and facilitating traffic is prompting their rapid development. With all of their promise, Vehicular Networks whereby vehicles and infrastructures are connected through wireless networks exchanging valuable information present two major risks that must be addressed: (1) highly dynamic networks of communicating vehicles and highways can be vulnerable to attack and abuse if security concerns are not adequately analyzed and addressed; and (2) highly dynamic networks can be easily overwhelmed even by a small number of queries if these queries are not efficiently optimized and planned. The objective of this research is to develop methods and algorithms that ensure that vehicular network services meet all safety requirements, including accountability, privacy, authenticity, and timeliness. In particular, the following three areas of research will be pursued: 1. The development of authentication and key agreement protocols preserving privacy while ensuring accountability that are adapted to the requirements and constraints of vehicle to infrastructure communications. 2. The development of vital signs authentication algorithms that allow vehicles to verify the authenticity of information received from neighboring vehicles. 3. The development of query optimization methods that take advantage of data and time redundancy to obtain accurate information with minimal communication overhead, thus ensuring timeliness.This research will be conducted at Oakland University, located in Automation Alley, home to all major automotive manufacturers, suppliers and developers. This project will help increase security awareness in automotive systems and the future vehicular networks. The symbiotic relationship between Oakland University and the automotive industry will accelerate technology transfer and promote validation and testing of the theoretical results in realistic settings.

美国交通部报告说，每年有超过180万起交叉路口撞车事故。2003年，有42 643人死亡。欧洲报告了类似的统计数据，每年有1.7起重伤和4万人死亡。交通事故每年造成的损失约占世界国内生产总值的百分之三，而且随着汽车数量的增加，这种损失还将进一步增加。 智能交通系统和车辆网络在拯救生命和促进交通方面的潜力正在推动其快速发展。 车辆和基础设施通过交换有价值信息的无线网络连接起来的车辆网络具有所有的前景，但存在两个必须解决的主要风险：（1）如果没有充分分析和解决安全问题，高度动态的通信车辆和高速公路网络可能容易受到攻击和滥用;以及（2）如果这些查询没有被有效地优化和规划，则即使是少量的查询也可以容易地淹没高度动态的网络。这项研究的目的是开发方法和算法，以确保车辆网络服务满足所有安全要求，包括问责制，隐私，真实性和及时性。 特别是，以下三个领域的研究将继续进行：1。认证和密钥协商协议的开发，在保护隐私的同时确保适应车辆与基础设施通信的要求和约束的问责制。2.开发生命体征认证算法，允许车辆验证从相邻车辆接收的信息的真实性。3.开发查询优化方法，利用数据和时间冗余，以最小的通信开销获得准确的信息，从而确保及时性。这项研究将在奥克兰大学进行，位于自动化巷，是所有主要汽车制造商，供应商和开发商的所在地。该项目将有助于提高汽车系统和未来车载网络的安全意识。奥克兰大学与汽车行业之间的共生关系将加速技术转让，并促进理论结果在现实环境中的验证和测试。