Traffic information identification and forwarding method based on dual trust mechanism in the Internet of Vehicles environment

Abstract

The present invention provides a traffic information identification and forwarding method with a dual trust mechanism in the Internet of Vehicles environment. 1. Sending node i sends road condition information M to receiving node j, and receiving node j receives information M; 2. Judging whether sending node i is a special vehicle, 3. The receiving node j calculates the trust value of the sending node i; 4. The receiving node j judges whether the sending node i is credible; 5. Calculates the cosine value and consistency of the angle between the road condition information M and the vehicle information MR attribute vector to evaluate them 6. Judging whether the content of the road condition information M sent by the sending node i is credible; the present invention judges whether it is credible by calculating the trust value of the mobile node, and compares the similarity of the information content based on the cosine similarity, so that the node The content of the sent information is calculated and compared by text similarity, and it is judged whether the content of the road condition information sent by the node is credible. The credibility of traffic information in the Internet of Vehicles is evaluated by using the dual trust mechanism, which effectively improves the forwarding rate of the entire Internet of Vehicles.

Description

technical field [0001] The invention relates to the technical field of Internet of Vehicles security, in particular to a traffic information identification and forwarding method of a dual trust mechanism in an Internet of Vehicles environment. Background technique [0002] With the rapid development of the Internet of Vehicles technology, the information security of the Internet of Vehicles has become a research hotspot in recent years, and the trust mechanism is an effective way to solve the information security of the Internet of Vehicles. At present, the identification method for traffic information in the Internet of Vehicles environment is mainly to calculate the trust value of the node that sends the traffic information, and judge whether the sending node is credible. If the sending node is credible, the traffic information sent is considered credible. However, this method It does not consider whether the content of the traffic information sent by the node is accurate,...

AI Technical Summary

Problems solved by technology

At present, the identification method for traffic information in the Internet of Vehicles environment is mainly to calculate the trust value of the node that sends the traffic information, and judge whether the sending node is credible. If the sending node is credible, the traffic information sent is considered credible. However, this method It does not consider whether the content of the traffic information sent by the node is accurate, which may easily lead to the spread of false information

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