  We address the security of a network of Connected and Automated Vehicles
(CAVs) cooperating to navigate through a conflict area. Adversarial attacks
such as Sybil attacks can cause safety violations resulting in collisions and
traffic jams. In addition, uncooperative (but not necessarily adversarial) CAVs
can also induce similar adversarial effects on the traffic network. We propose
a decentralized resilient control and coordination scheme that mitigates the
effects of adversarial attacks and uncooperative CAVs by utilizing a trust
framework. Our trust-aware scheme can guarantee safe collision free
coordination and mitigate traffic jams. Simulation results validate the
theoretical guarantee of our proposed scheme, and demonstrate that it can
effectively mitigate adversarial effects across different traffic scenarios.
