Bidding method and system based on privacy calculation and block chain information protection

Abstract

The invention relates to a bidding method and system based on privacy calculation and block chain information protection. The method comprises the following steps: receiving a bidding calculation task from a block chain; performing dynamic resource allocation on the cloud service resource pool according to the computing task, and allocating a privacy computing task node for each computing participant; sending the distribution result to the block chain to inform the N calculation participants participating in the calculation; establishing a local access node for the local resources of the N calculation participants and the allocated privacy calculation task node; establishing data connection with N calculation participants through each privacy calculation task node, and performing calculation according to the bidding calculation task; and sending the calculation result to the block chain to notify each calculation participant. According to the technical scheme, a safe, credible and efficient data calculation mode is realized by combining the block chain and privacy calculation.

Description

technical field [0001] The invention relates to the technical field of data security processing, in particular to a bidding method and system based on privacy computing and block chain information protection. Background technique [0002] In many business scenarios, there are multiple parties that need to protect their information independently of each other. For example, in an auction and bidding scenario, each participant needs to protect the quotation information and / or protect the information of the bidders from each other. In the traditional auction or bidding system, the information of the participants cannot be effectively protected, and the quotation information is easily known by competitors. How to calculate the relevant data without revealing the information is an urgent problem to be solved. [0003] It can be calculated by establishing a trusted third-party organization that is fair and credible and will not leak information. In the scenario where a third-part...

AI Technical Summary

Problems solved by technology

In the scenario where a third-party organization is used for calculation, the data still needs to be known by the third-party organization, and this method will also encounter practical management problems

It is also possible to use multi-party secure computing to perform data calculations without leaking multi-party data. However, although multi-party secure computing can ensure relatively safe calculations, multi-party secure computing requires a large amount of calculations and requires high communication bandwidth. In addition, this method requires The participants are honest and trustworthy, otherwise collusion, fraud, denial and other phenomena will easily occur, which is difficult to apply in reality

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