An Intelligent Transport System in VANET using Proxima Analysis

There is no proper structure for Vehicular ad hoc networks (VANETs). VANET generates several mobility vehicles that move in different directions by connecting the vehicles and transferring the data between the source and destination which is very useful information. In this system, a small network is created with vehicles and other devices that behave like nodes in the network. Sometimes for better communication, VANET uses suitable hardware for improving the performance of the network. Reliability is one of the significant tasks that perform the needful operations and methods based on the conditions at a specific time. To disturb the VANETS, the attacker tries to hit the server and that causes damage to the server. This paper mainly focused on detecting the falsification nodes by analyzing the behavior of the models. In this paper, an improved intelligent transportation system (ITS) Proxima analysis is introduced to find the accurate falsification nodes. The proposed approach is the integration of KNN and RF with Proxima analysis. The main aim of the Proxima is to analyze the falsification nodes within the network and improve the mobility of the vehicles by sending source to destination without any miscommunication.