Anti-fraud system and method based on block chain

Abstract

The invention discloses a fraud prevention system and method based on blockchain, and the system comprises a plurality of groups of participation mechanisms, wherein each participation mechanism comprises a blockchain node, an oracle machine node, an authority module, and a biological feature collection device, and the blockchain node and blockchain nodes of other participating mechanisms form a blockchain network; the oracle machine nodes obtain networking addresses of the oracle machine nodes of other participation structures through the block chain network, and establish an oracle machine network according to the networking addresses; consensus is performed on the biological characteristic information to an oracle machine network to carry out risk authentication voting, and a voting result is generated according to participation mechanisms voted by all oracle machine nodes; when the voting result is higher than a preset threshold value, alarm information is outputted; a biological characteristic collection device collects biological characteristic information of a user and uploading the biological characteristic information to the corresponding oracle machine node; and an authority module is connected with the oracle machine node and the biological characteristic acquisition equipment and is used for issuing the risk coefficient of the risk user through the oracle machine node according to the preset authority of the current participation mechanism.

Description

technical field [0001] The invention relates to a blockchain technology processing system, in particular to a blockchain-based anti-fraud system and method. Background technique [0002] Blockchain technology has the characteristics of being traceable and non-tamperable through distributed computing and storage without relying on additional third-party management agencies. It is often used in scenarios such as virtual currency, certificate deposit, and audit governance. Biometrics technology is a combination of computer and optics, acoustics, biosensors and other scientific and technological means, and uses the inherent characteristics of the human body (voice, facial features, fingerprints, etc.) to realize personal identification. [0003] Due to the incompatibility of internal information between law enforcement agency systems, banking systems, urban road monitoring systems, commercial agency systems, and social public transportation systems, financial criminal informatio...

AI Technical Summary

Problems solved by technology

[0004] The existing institutional systems are not fully connected. Usually, law enforcement agencies record information about financial fraudsters in their own systems, and then publish it through webpages, news, etc. If other individuals and institutions need relevant information, they must actively obtain relevant information, and obtain criminal information. There is no relevant technical means to use this information, and most of them need to identify relevant suspects or financial fraudsters through human intervention.

This traditional way of solving financial fraud cases, on the one hand, the relevant financial fraud information is not shared among various institutions, which makes it difficult to solve the case and the information is not fully utilized. Threats to the lives and property of relevant whistleblowers

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