Open AccessAn Intelligent Data-Driven Model to Secure Intra- Vehicle Communications based on Machine Learning
Author(s) -
R. Poorvadevi,
Bodala Yaswanth Nikhil,
Darisi Venkata Sravan Kumar
Publication year - 2022
Publication title -
international journal for research in applied science and engineering technology
Language(s) - English
Resource type - Journals
ISSN - 2321-9653
DOI - 10.22214/ijraset.2022.40863
Subject(s) - computer science , can bus , electric vehicle , controller (irrigation) , process (computing) , consistency (knowledge bases) , anomaly detection , support vector machine , protocol (science) , real time computing , artificial intelligence , computer network , medicine , power (physics) , physics , alternative medicine , pathology , quantum mechanics , agronomy , biology , operating system
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.