An Intelligent Data-Driven Model to Secure Intra- Vehicle Communications based on Machine Learning

Abstract

Abstract: The depend on electric vehicles on either in vehicle or between-vehicle communications can cause big issues in the system. The model is constructed based on an better support vector machine model for difference finding based on the controller area network (CAN) bus protocol. In order to improve the capabilities of the model for fast mischievous attack detection and avoidance, a new optimization algorithm based on social spider (SSO) algorithm is developed which will emphasize the training process at. The model results on the real data sets tell the high performance, consistency hacking in the electric vehicles. Keywords: Electric Vehicle, Intra-Vehicle, Controller-AreaNetworks (CAN Bus), Anomaly Detection, Optimiz.