Reinforcement Learning based Cyberattack Model for Adaptive Traffic Signal Controller in Connected Transportation Systems. (arXiv:2211.01845v1 [cs.CR])

In a connected transportation system, adaptive traffic signal controllers
(ATSC) utilize real-time vehicle trajectory data received from vehicles through
wireless connectivity (i.e., connected vehicles) to regulate green time.
However, this wirelessly connected ATSC increases cyber-attack surfaces and
increases their vulnerability to various cyber-attack modes, which can be
leveraged to induce significant congestion in a roadway network. An attacker
may receive financial benefits to create such a congestion for a specific
roadway. One such mode is a 'sybil' attack in which …

arxiv cyberattack reinforcement reinforcement learning signal systems traffic transportation