A Cyber Physical Security for Electrical Vehicles using Deep learning

In this paper, Fog-based IoT-enabled Electrical vehicles connected with smart grid systems and propose a reference model that integrates fog computing concepts for electrical vehicles connected with smart grids. Due to its distributed nature, fog computing allows to capture the real data. fog computing capable to improve security with latency minimization between electric vehicles to cloud, and provide reliability in smart grid applications such as electric vehicles’ energy management and security. In addition, we explain the security challenges and attacks and existing solutions. our proposed method CNN+LSTM Algorithms on a publicly CICIDS-2017 dataset demonstrated its high performance. We achieved an impressive accuracy rate of 99.86%.