Research On Key Technologies Of Data Sharing In Internet Of Vehicles Based On Blockchain Technology

Real-time sharing of vehicle information in the Internet of Vehicles can ensure traffic safety and improve travel efficiency.Based on the decentralization,immutability and anonymity of blockchain technology,many researchers have carried out research on four main types of applications of blockchain technology in the Internet of Vehicles data sharing environment: security,trust establishment,incentives and privacy protection.However,the current research still has some shortcomings.The problem of data authenticity and the efficiency of block generation caused by collusion attacks in the data sharing scenario of the Internet of Vehicles is a research direction that deserves attention.This article aims at the real-time road condition information sharing scene of the Internet of Vehicles,which improves the authenticity of the road condition information shared in the face of collusion attacks,and improves the efficiency of block chain network generation in the face of congested road conditions.First of all,in the case of a large number of malicious nodes publishing false traffic information to form a collusion attack on the network,the blockchain network cannot find malicious nodes and cannot guarantee the authenticity of the traffic information,and proposes a real traffic data for collusion attacks Polymerization method.By studying the mechanism of reputation management,combining reputation points and node feature detection,a collusion node detection model based on reputation points is proposed.Through safety comparison analysis with existing work,and comparison of vehicle node reputation score changes and road condition information accuracy rate,it is verified that this method can effectively solve the problem of the authenticity of road condition information when there is collusion in the road condition information sharing environment,and improve the ability to detect a large number of colluding nodes.Secondly,in the face of sudden congested road conditions,the current popular blockchain consensus algorithm has a problem of excessive consumption of computing resources,and proposes a load balancing method for RSU nodes for congested road conditions.By studying the method of load balancing and combining the DPoS algorithm,a DPoS consensus node selection model based on computational load is proposed.Compared with the DPoS algorithm based on trust mechanism voting,the ratio of production nodes,the distribution of load and the probability of malicious nodes being elected as production nodes for the second time,verify that the proposed model can effectively balance the load of RSU and improve its consensus efficiency.