Crowdsourcing resource distributed anonymous allocation method based on block chain and allocation system thereof

Abstract

The invention discloses a crowdsourcing resource distributed anonymous allocation method based on a block chain and an allocation system thereof, hereinafter referred to as a crowdsourcing resource anonymous allocation system, comprising the following steps: user registration; linking the user registration information; creating a task release intelligent contract on the block and recording task release information; making a plan on the premise of the service node; enabling the request node to select the most excellent service node from the achievement of the plan; and creating a Hash time locking contract on the block and establishing an onion route to realize anonymous communication of the two parties of the transaction. According to the invention, the Hash time locked smart contract is introduced into the block chain network, zero confirmation transaction chaining is realized, and the transaction amount in unit time is greatly improved. In addition, an onion route from the request node to the service node can be constructed through a payment channel established by the Hash time locking contract, so that anonymous transactions of the request node and the service node are realized.

Description

technical field [0001] The invention belongs to crowdsourcing service technology, and in particular relates to a block chain-based distributed anonymous distribution method of crowdsourcing resources and a distribution system thereof. Background technique [0002] Crowdsourcing logistics is an open distribution model based on the Internet platform. With the help of mature big data technology and mobile network technology, this model outsources distribution tasks to non-specific social groups through the network in a voluntary and paid manner. Groups can grab orders, pick up and deliver goods during free time periods, thus maximizing the use of social idle resources. The crowdsourcing logistics model represented by Jingdong Crowdsourcing, Dada, Renren Express, and Shansongdi has been favored by many couriers and consumers. Taking JD.com Crowdsourcing Logistics as an example, it has recruited more than 50,000 couriers within three months of its launch. The business covers 13...

AI Technical Summary

Problems solved by technology

According to relevant statistics from Tencent.com, as of June 2018, the penetration rate of express delivery privacy face sheets is less than 20%.

However, trusted third parties have a single point of failure

Once a trusted third party is attacked by a network, the crowdsourcing logistics platform will become unavailable, user identity authentication cannot be completed, and payment activities will be affected

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