Cybersecurity Analysis to Prepare VDOT Operations for Connected and Autonomous Vehicle Applications
| 项目名称： | Cybersecurity Analysis to Prepare VDOT Operations for Connected and Autonomous Vehicle Applications |
| 摘要： | In this research, a prototype ATM system along with a real-time cyberattack monitoring system were developed for a 1.5-mile section of I-66 in Northern Virginia. The monitoring system detects deviation from expected operation of an ATM system by comparing lane control states generated by the ATM system with lane control states deemed most likely by the monitoring system. This comparison provides the functionality to continuously monitor the system for abnormalities that would result from a cyberattack. In case of any deviation between two sets of states, the monitoring system displays the lane control states generated by the back-up data source. In a simulation experiment, the prototype ATM system and cyberattack monitoring system were subject to emulated cyberattacks. The evaluation results showed that the ATM system, when operating properly in the absence of attacks, improved average vehicle speed in the system to 60mph (a 13% increase compared to the baseline case without ATM). However, when subject to cyberattack, the mean speed reduced by 15% compared to the case with the ATM system and was similar to the baseline case. This illustrates that the effectiveness of the ATM system was negated by cyberattacks. The monitoring system however, allowed the ATM system to revert to an expected state with a mean speed of 59mph and reduced the negative impact of cyberattacks. These results illustrate the need to revisit ATM system design concepts as a means to protect against cyberattacks in addition to traditional system intrusion prevention approaches. |
| 状态： | Completed |
| 资助组织： | Office of the Assistant Secretary for Research and Technology |
| 管理组织： | Mid-Atlantic Transportation Sustainability Center |
| 项目负责人： | Burden, Lindsay Ivey |
| 执行机构： | University of Virginia, Charlottesville |
| 主要研究人员： | Smith, Brian L |
| 开始时间： | 20170530 |
| 预计完成日期： | 0 |
| 实际结束时间： | 20180530 |
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