Abstract

Internet of vehicles is a specific application of Internet of things technology in the field of intelligent transportation. The rapid development of 5G communication technology promotes the development of Internet of vehicles. Car for cellular network communication node random distribution and complex multi-source interference and mobile terminal security calculation ability is limited, this article in view of the actual scene, was proposed based on random geometry contains eavesdropper (Eve) honeycomb - V2V heterogeneous physical layer security system model, the introduction of automatic (PB) as artificial floating vehicle noise, the analysis of cellular network users in the system (CU), V2V users (VU) and interference of the eavesdropper, each user letter simulation with dry to noise ratio (SINR) of the cumulative distribution function, and by using the random geometry tools related safety expression deduction, Then, data mining was carried out on the distance between PB and VU receiver, PB transmitting power and other related variables through genetic algorithm, and the value process was visualized to extract valuable information, providing a mathematical analysis framework and theoretical guidance for the future design, deployment and operation of cellular vehicle network. The results show that the proposed system model can significantly improve the security of vehicle-network communication.

Highlights

  • Along with the development of the 5G mobile communications, honeycomb vehicle network technology become a research focus in recent years in the field of automatic driving, car networking is auto mobile Internet, car and road, car and car, car and people, cars and real-time information networking and connectivity between the two cities, but the opening of the honeycomb - V2V heterogeneous system characteristics, the communication security problem is very serious

  • SIMULATION MODEL In order to describe the random locations of cellular users, V2V users, eavesdroppers, and autopilot floating vehicles in the cellular-V2V heterogeneous system, we model the system and simulate using the Poisson point process of stochastic geometry theory: All users are nodes randomly distributed in a two-dimensional plane [38], and the position satisfies the Poisson point distribution process

  • Mining the value behind the large amount of data stored in the Internet of vehicles and analyzing it effectively is the basis of intelligent application, and it is one of the methods to improve the security performance of cellular -V2V communication

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Summary

INTRODUCTION

Along with the development of the 5G mobile communications, honeycomb vehicle network technology become a research focus in recent years in the field of automatic driving, car networking is auto mobile Internet, car and road, car and car, car and people, cars and real-time information networking and connectivity between the two cities, but the opening of the honeycomb - V2V heterogeneous system characteristics, the communication security problem is very serious. Information transmission rate is Rc,secure transmission rate is Rs, and security redundancy rate is Re = Rc − Rs. A reliable connection of V2V communication can be achieved only when the instantaneous channel capacity C of the receiving user in the downlink communication link is greater than the information transmission rate Rc. If the instant channel capacity of Eve is greater than the safety redundancy rate, the communication of the MIMO-V2V system is safely interrupted, thereby ensuring the security of information transmission during the automatic driving process and preventing the eavesdropper from obtaining important information.

EAVESDROPPING PROBABILITY
SECURE TRANSMISSION PROBABILITY
Findings
CONCLUSION
Full Text
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