Information reliability evaluation method in Internet-of-vehicles environment

Abstract

The invention discloses an information reliability evaluation method in an Internet-of-vehicles environment. The information reliability evaluation method in Internet-of-vehicles environment is divided into two modules of information filtering and comment generation, and comprises the following process: an information sender firstly screens information meeting evaluation requirements according to an information weight W and a reputation value R, and the satisfied information is sent to a roadside evaluation unit (REU) established on the roadside by a vehicle; the REU analyzes the information by use of an evidence collected previously and generates evaluation comments; the information of which the evaluation comment is reliable is sent to the vehicles all around, and the vehicles receiving the corresponding information take corresponding measures. According to the information reliability evaluation method in the Internet-of-vehicles environment, within the whole information evaluation frame, the whole process from information filtering and comment generation is capable of improving the reliability of the information in the Internet of vehicles, and also capable of avoiding heavy losses caused by wrong and even malicious information.

Description

technical field [0001] The invention relates to an information evaluation technology in the field of Internet of Vehicles, in particular to an information reliability evaluation method in an Internet of Vehicles environment based on a roadside evaluation unit. Background technique [0002] With the rapid development of mobile self-organizing technology, the Internet of Vehicles used in the vehicle environment has also emerged as the times require. The Internet of Vehicles can greatly improve traffic efficiency and ensure a safe and comfortable user experience. In the Internet of Vehicles, vehicles ensure the safety of passengers and the road by sharing information including road conditions, local traffic, safety conditions, etc., and promote the efficient operation of the transportation network. [0003] Due to the fact that there are a large number of malicious or compromised nodes in the Internet of Vehicles in the real environment, these malicious or compromised nodes wi...

AI Technical Summary

Problems solved by technology

[0013] (1) The above scheme cannot realize the early interception of wrong or even malicious messages

Vehicles may generate wrong or even malicious messages and broadcast them, and the strategy implemented by them is to evaluate the received information vehicles after receiving the messages, so the early interception of malicious messages cannot be achieved

[0014] (2) All vehicles in the above scheme have exactly the same evaluation facility, and vehicles that receive the same information need to evaluate this information, which will lead to repeated evaluation of information, resulting in a waste of network resources and increasing vehicle cost

[0015] (3) The difference between the types of information events and the types of information dissemination that the information itself has is not taken into account, and the evaluation of some information is not necessary

[0016] In this scheme, the credibility of the information is determined by multiple factors, but these schemes are evaluated by the receiving vehicle after the information is generated, they cannot realize the early evaluation of the information, and cannot prevent wrong or even malicious information in advance The dissemination in the Internet of Vehicles, and the repetitive evaluation of information by vehicles will also cause a waste of network resources

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