  The surging usage of electric vehicles (EVs) demand the robust deployment of
trustworthy electric vehicle charging station (EVCS) with millisecond range
latency and massive machine to machine communications where 5G could act.
However, 5G suffers from inherent protocols, hardware, and software
vulnerabilities that seriously threaten the communicating entities'
cyber-physical security. To overcome these limitations in the EVCS system, this
paper analyses the impact of False Data Injection (FDI) and Distributed Denial
of Services (DDoS) attacks on the operation of EVCS. This work is an extension
of our previously published conference paper about the EVCS. As new features,
this paper simulates the FDI attack and the syn flood DDoS attacks on 5G
enabled remote Supervisory Control and Data Acquisition (SCADA) system that
controls the solar photovoltaics (PV) controller, Battery Energy Storage (BES)
controller, and EV controller of the EVCS. The attacks make the EVCS system
oscillate or shift the DC operating point. The frequency of oscillation, its
damping, and the system's resiliency are found to be related to the attacks'
intensity and target controller. Finally, we propose the novel stacked Long
Short-Term Memory (LSTM) based intrusion detection systems (IDS) solely based
on the electrical fingerprint. This model can detect the stealthy cyberattacks
that bypass the cyber layer and go unnoticed in the monitoring system with
nearly 100% detection accuracy.
