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Connected vehicle (CV) technology enables data exchange between vehicles andtransportation infrastructure and therefore has great potentials to improvecurrent traffic signal control systems. However, this connectivity might alsobring cyber security concerns. As the first step in investigating the cybersecurity of CV-based traffic signal control (CV-TSC) systems, potential cyberthreats need to be identified and corresponding impact needs to be evaluated.In this paper, we aim to evaluate the impact of cyber attacks on CV-TSC systemsby considering a realistic attack scenario in which the control logic of aCV-TSC system is unavailable to attackers. Our threat model presumes that anattacker may learn the control logic using a surrogate model. Based on thesurrogate model, the attacker may launch falsified data attacks to influencesignal control decisions. In the case study, we realistically evaluate theimpact of falsified data attacks on an existing CV-TSC system (i.e., I-SIG).

Impact Evaluation of Falsified Data Attacks on Connected Vehicle Based Traffic Signal Control