Theorizing Connected Vehicle-Enabled Traffic System Vulnerability Analysis with Positioning, Navigation, and Timing (PNT)

Investigator(s):

• Lu Gao, University of Houston, ORCID # 0000-0003-2421-2000 (PI)

Project Description:

Figure 1. Schematic Diagram of Cyberattack on Connected Vehicles in Mixed Traffic

As the integration of connected and autonomous vehicles continues to shape the future of transportation, concerns regarding the vulnerability of such systems to potential cyber threats have gained prominence. This research delves into the analysis of the vulnerability landscape of connected vehicle-enabled traffic systems, focusing on the role of Positioning, Navigation, and Timing (PNT) in their security architecture. Through the utilization of traffic simulation, this study aims to comprehensively assess the susceptibility of these systems to cyberattacks, particularly when hackers target the communication channels of multiple interconnected vehicles (Figure 1). The primary objective of this project is to clarify the degree of vulnerability exhibited by the connected vehicle traffic system under varying conditions. By considering different proportions of connected and non-connected vehicles, as well as autonomous vehicles, the research aims to provide insights into how these variables influence the overall system vulnerability. Through systematic analysis, this research seeks to uncover potential patterns and trends in system vulnerability concerning the aforementioned parameters. Furthermore, the study goes beyond vulnerability assessment and extends its focus to evaluate the broader impact of potential cyber intrusions on the entire traffic system. By examining the systemic consequences of attacks on interconnected vehicles, the research aims to establish a comprehensive understanding of the potential cascading effects that could arise from security breaches. To enhance the practical implications of the findings, the research will also explore the effectiveness of preventive measures in bolstering the system's resilience against cyber threats. By assessing the robustness of the connected vehicle traffic system when subjected to various preventive treatments, the study contributes to the development of proactive strategies for mitigating potential vulnerabilities.