A Method for Information Reliability Evaluation in the Environment of Internet of Vehicles

Abstract

The invention discloses an information reliability evaluation method under the Internet of Vehicles environment, which is divided into two modules: information filtering and opinion generation. The process is as follows: the information sender first screens the information that meets the evaluation requirements according to the information weight W and reputation value R , the qualified information is sent by the vehicle to the roadside evaluation unit (REU) built on the side of the road; the roadside evaluation unit analyzes the information through the evidence collected before, and generates an evaluation opinion, and the evaluation opinion is trustworthy information will be Send it to surrounding vehicles, and the vehicle that receives the corresponding information will take corresponding measures. Within the entire information evaluation framework, the present invention can not only improve the credibility of information in the Internet of Vehicles, but also avoid major losses caused by wrong or even malicious information during the entire process from information filtering to opinion generation.

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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