  Safe and reliable electric vehicle charging stations (EVCSs) have become
imperative in an intelligent transportation infrastructure. Over the years,
there has been a rapid increase in the deployment of EVCSs to address the
upsurging charging demands. However, advances in information and communication
technologies (ICT) have rendered this cyber-physical system (CPS) vulnerable to
suffering cyber threats, thereby destabilizing the charging ecosystem and even
the entire electric grid infrastructure. This paper develops an advanced
cybersecurity framework, where STRIDE threat modeling is used to identify
potential vulnerabilities in an EVCS. Further, the weighted attack defense tree
approach is employed to create multiple attack scenarios, followed by
developing Hidden Markov Model (HMM) and Partially Observable Monte-Carlo
Planning (POMCP) algorithms for modeling the security attacks. Also, potential
mitigation strategies are suggested for the identified threats.
