Research on security technology of automobile electronic communication based on genetic assessment

摘要

In the techno world, the Internet of Things (IoT) is a growing and advanced technology that has become an enormous base for employing in various applications of different genres, including smart vehicle infrastructure, by facilitating Internet connections. Because of the developing nature and the salient features of ensuring high-level road safety and security to optimize traffic management, vehicle networks have become a significant research field in the Intelligent Transportation System (ITS). With various benefits of ITS and IoT, the wireless device transfer connectivity raises the possibility of privacy violations, which may result in surveillance, deflection of identification, and the hijacking of virtual vehicles. Therefore, avoiding data security disputes for computing in the IoT-ITS remains a significant challenge. The IoT supported with Multiple-Objective Genetic Assessment (IoT-MOGA) helps to tackle this problem. The security of knowledge transparency for ITS is suggested in this article. The communication-based vehicle routing method is then configured to retrieve the vehicles from the initial automobile, where the device assignment is placed at the vehicle location. The goal is to improve the consumption of time and energy MOGA to decrease the accomplishing time and avoid conflicts in computer tasks' privacy. Eventually, investigational assessments are required to demonstrate IoT-MOGA's performance and competitiveness.