The surging usage of electric vehicles (EVs) demand the robust deployment of trustworthy electric vehicle charging station (EVCS) This paper analyses the impact of False Data Injection (FDI) and Distributed Denial of Services (DDoS) attacks on the operation of EVCS . The frequency of oscillation, itsdamping, and the system’s resiliency are found to be related to the attacks’ intensity and target controller . Finally, we propose the novel stacked LongShort-Term Memory (LSTM) based intrusion detection systems (IDS) solely based on the electrical fingerprint . This model can detect the stealthy cyberattacksthat bypass the cyberlayer and go unnoticed in the monitoring system with nearly 100% detection accuracy . The attacks make the EVCS systemoscillate or shift the DC operating point. The attacks made the EVcs systemoscILLate or shifted the voltage operating point . The authors of this work is an extension of our previously published conference paper

Author(s) : Manoj Basnet, M. Hasan Ali

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Code :
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Keywords : attacks - evcs - electric - detection - charging -

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