Connected and Autonomous Vehicles Epidemiology and Defenses

联网和自动驾驶汽车流行病学和防御

• 批准号: RGPIN-2018-05528
• 负责人: Kim, YongHoon
• 金额: $ 1.89万
• 依托单位: University of Windsor
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2018
• 资助国家: 加拿大
• 起止时间: 2018-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=655592
• 关键词: Connected; Autonomous; Vehicles; Epidemiology; Defenses

Connected and autonomous vehicles (CAVs) have the potential of providing new paradigms to enhance the safety, mobility, and environmental sustainability of surface transportation. However, as vehicles are increasingly being connected to the Internet and other widely accessible networks, their vulnerability to cyber-attacks is a fast-growing concern and a national priority. Evidence from the Internet virus suggests that CAVs will certainly have critical challenges posed by epidemic-style malware, which is referred as CAVs Epidemic. This self-propagating malware is a fast and powerful way of disrupting CAVs system and transportation infrastructures. The consequences of being under-prepared or unable to counter CAVs Epidemic will have a profound impact. Therefore, the objective of this program is to address fundamental grand challenge needs: (1) to better understand the propagation pattern of CAVs epidemic, and (2) to develop strategies that can detect and defend against new outbreaks. Taking cues from the field of epidemiology and ecology, the malware will be described as infectious epidemics to capture malware dynamics behaviour. The CAVs Epidemic models will be synergistically integrated with complementary strengths of network science and control theory to achieve their goals. ***By leveraging the knowledge of CAVs Epidemic, the proposed program aims to establish effective cooperative defense system, which is called Center for CAVs Epidemic Control (CEC). It mirrors the Public Health Agency of Canada to address threats and enable a quick response to CAVs Epidemic. The lessons of public health history will be used for the CEC as they exemplify the huge challenges to CAVs Epidemic. The program will leverage the knowledge of public health theory and practice toward realizing effective engineered controls for the CEC, through a variety of modeling and statistical approaches. Thus, this research program addresses need to strengthen Canada's cyber-security strategy.

互联和自动驾驶汽车（CAV）有可能提供新的范例，以提高地面交通的安全性，机动性和环境可持续性。然而，随着车辆越来越多地连接到互联网和其他可广泛访问的网络，它们对网络攻击的脆弱性是一个快速增长的问题，也是一个国家优先事项。来自互联网病毒的证据表明，CAV肯定会受到攻击式恶意软件的严重挑战，这种恶意软件被称为CAV流行病。这种自我传播的恶意软件是破坏CAV系统和运输基础设施的快速而强大的方式。准备不足或无法应对CAV流行病的后果将产生深远的影响。因此，该计划的目标是解决基本的重大挑战需求：（1）更好地了解CAV流行病的传播模式，以及（2）制定可以检测和防御新疫情的策略。从流行病学和生态学领域的线索，恶意软件将被描述为传染性流行病，以捕捉恶意软件的动态行为。CAV流行病模型将与网络科学和控制理论的互补优势协同集成，以实现其目标。* 通过利用CAV流行病的知识，拟议的计划旨在建立有效的合作防御系统，称为CAV流行病控制中心（CEC）。它反映了加拿大公共卫生署应对威胁，并能够快速应对CAV流行病。公共卫生历史的教训将用于CEC，因为他们将面临CAV流行的巨大挑战。该计划将利用公共卫生理论和实践的知识，通过各种建模和统计方法，实现CEC的有效工程控制。因此，这项研究计划解决了加强加拿大网络安全战略的需要。