Interdependence-Aware Game-Theoretic Framework for Secure Intelligent Transportation Systems

The operation of future intelligent transportation systems (ITSs), communications infrastructure (CI), and power grids (PGs) will be highly interdependent. In particular, autonomous connected vehicles require CI resources to operate, and, thus, communication failures can result in nonoptimality the ITS flow terms traffic jams fuel consumption. Similarly, components, e.g., base stations (BSs) impacted by electric grid that is powering them. Thus, malicious attacks on PG lead both ITSs. To this end, article, security an against indirect carried out through studied interdependent PG-CI-ITS scenario. considered scenario, attacker induce or disrupt a particular set streets attacking components while remaining stealthy from administrators. defend such attacks, administrator critical allocate backup sources (BPSs) at every BS compensate for loss caused attacker. However, due budget limitations, must consider importance each light risk failure, allocating BPSs. regard, rigorous analytical framework proposed model interdependencies between ITS, CI, PG. Next, one-to-one relationship derived order capture effect components’ failure optimality streets. Moreover, problem BPS allocation formulated using Stackelberg game equilibrium (SE) characterized. Simulation results show SE outperforms any other strategy scalable linear time with respect size infrastructure.