An evidence theoretic approach for traffic signal intrusion detection

The increasing attacks on traffic signals worldwide indicate the importance of intrusion detection. The existing traffic signal Intrusion Detection Systems (IDSs) that rely on inputs from connected vehicles and image analysis techniques can only detect intrusions created by spoofed vehicles. However, these approaches fail to detect intrusion from attacks on in-road sensors, traffic controllers, and signals. In this paper, we proposed an IDS based on detecting anomalies associated with flow rate, phase time, and vehicle speed, which is a significant extension of our previous work using additional traffic parameters and statistical tools. We theoretically modelled our system using the Dempster-Shafer decision theory, considering the instantaneous observations of traffic parameters and their relevant historical normal traffic data. We also used Shannon's entropy to determine the uncertainty associated with the observations. To validate our work, we developed a simulation model based on the traffic simulator called SUMO using many real scenarios and the data recorded by the Victorian Transportation Authority, Australia. The scenarios for abnormal traffic conditions were generated considering attacks such as jamming, Sybil, and false data injection attacks. The results show that the overall detection accuracy of our proposed system is 79.3% with fewer false alarms

Potential Categories for the Application of Blockchain in Intelligent Transportation Systems (ITS)

693JJ321D000021 Task Order 693JJ322F00408NThe purpose of this document is to summarize for the United States Department of Transportation\u2019s (U.S. DOT\u2019s) Intelligent Transportation Systems Joint Program Office (ITS JPO), the potential blockchain applications in ITS categorized based on Architecture Reference for Cooperative and Intelligent Transportation (ARC-IT) taxonomy. The applications are selected based on the literature review of existing blockchain applications, conceptual use cases and pilot projects; relevance with U.S. DOT\u2019s strategic goals and research and development plans; and inputs from U.S. DOT