Secured transmission approach for transportation units with twin creations and artificial intelligence algorithm

Abstract In this paper, the effective transportation units that provides secured data transmission using a communication protocol is examined. Since the development phase of vehicle connectivity is present with low reliability the proposed method examines the security of each transportation unit by using twin representations. Moreover to analyze exact characteristics of transportation units similarity index is measured by using artificial intelligence algorithm thereby individual node connections are represented with Internet of Things (IoT). An analytical representation with dynamic transportation units are provided with different parameters where at minimized energy rates it is possible to transmit the data for included vehicular systems. The outcome of projected model is examined in terms of attacks, trust values, interference and congestion and a comparison is Made with existing approach. From the comparison outcome the proposed method proves to provided improved security with reduced congestion rate of 4% for each transmitted packets. In addition, the comparison results proves that with reduced interference of 0.003% effective data transmission can be utilized for all connected transportation units.