ABSTRACT
Abstract
This letter jointly models control performance, communication resources, authentication delay, edge processing, and attack uncertainty in secure vehicle platoons. It develops a risk-aware optimization framework and a practical DR–PDA solver that combines control updates, convex approximation, and Wasserstein–CVaR robustness. Numerical results demonstrate favorable cost, leakage-risk, attack-resilience, and runtime trade-offs, while the ablation study highlights the importance of tail-risk protection and explicit authentication-delay modeling.