Internet of vehicles crowd sensing incentive method with privacy protection characteristic based on blockchain

Abstract

The invention belongs to the technical field of Internet of Vehicles crowd sensing. The invention provides an Internet of Vehicles crowd sensing incentive method with a privacy protection characteristic based on blockchain, and aims to solve the problems that the privacy protection means of an existing Internet of Vehicles crowd sensing incentive method mostly depend on a third party, the hidden danger of privacy disclosure exists, and the problem of award distribution fairness is solved. According to the method, through an anonymous identity authentication mechanism, a winner selection mechanism for protecting privacy, a fairness-enhanced reward payment scheme and an intelligent contract, the problems of single-point faults, collusion attacks and the like existing in a centralized excitation method are solved; a lightweight privacy protection scheme without the assistance of a trusted third party is realized, and the vehicle identity and bidding privacy are protected; and the fairness of the bidder selection and reward allocation algorithm is enhanced.

Description

technical field [0001] The invention belongs to the technical field of group intelligence perception of the Internet of Vehicles, and specifically relates to a method for stimulating the group intelligence perception of the Internet of Vehicles based on a block chain with privacy protection characteristics. Background technique [0002] As urban populations grow, the number of cars starts to increase, which can lead to congestion on roads and parking lots. Intelligent transportation is a solution to make real-time control decisions for traffic efficiency and safety, which requires a large amount of traffic information. Today, vehicles have richer sensors, greater storage and communication capabilities, and the ability to collect and share data. The ubiquitous crowd-sensing technology has enabled the emergence of vehicle-connected crowd-sensing (VCS), a new paradigm that harnesses the power of vehicles to collect vast amounts of traffic-information perception data. When an ...

AI Technical Summary

Problems solved by technology

[0007] In view of the fact that most of the privacy protection methods of the existing group intelligence incentive methods of the Internet of Vehicles rely on third parties, there are hidden dangers of privacy leakage, and the fairness of reward distribution. The networked group intelligence incentive method mainly solves the problems of single point of failure and collusion attack in the centralized incentive method through anonymous identity authentication mechanism, privacy-protecting winner selection mechanism, fairness-enhanced reward payment scheme and smart contracts; Realize a lightweight privacy protection scheme without the assistance of a trusted third party, protect vehicle identity and bidding privacy; enhance the fairness of the winning bidder selection and reward distribution algorithm

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