Bitcoin transaction station address identification method, system and device

An address recognition and bitcoin technology, applied in the field of information technology and security, can solve the problems of unguaranteed accuracy, high cost, and inability to be widely used, and achieve the effect of good structural characteristics, less dependent resources, and good recognition effect.

Inactive Publication Date: 2019-06-21
INST OF AUTOMATION CHINESE ACAD OF SCI
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  • Bitcoin transaction station address identification method, system and device
  • Bitcoin transaction station address identification method, system and device
  • Bitcoin transaction station address identification method, system and device

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[0041] In order to make the purpose, technical solutions and advantages of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings. Obviously, the described embodiments are part of the embodiments of the present invention, rather than Full examples. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0042] The application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the relevant inventions, rather than to limit the inventions. It should also be noted that, for the convenience of description, only the parts related to the related inv...

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Abstract

The invention belongs to the technical field of information technology and security. The invention relates to the technical field of transaction, in particular to a bitcoin transaction station addressidentification method, system and device, and aims to solve the problem that whether input address information is a transaction station address is judged based on bitcoin transaction information, andthe method comprises the following steps: obtaining to-be-identified transaction data comprising a bitcoin address identifier and bitcoin flow direction data as input information; constructing a bitcoin transaction network based on the input information; A network representation learning method is used for obtaining feature vectors of nodes in a bitcoin transaction network to form a feature space, and whether a bitcoin address identifier in input information is a real bitcoin transaction address or not is further identified through an address classifier. The address classifier is obtained through training on the basis of a transaction data sample and a label sample, and is a combination of a classifier model based on a plurality of mapping functions. The method is less in dependence on resources, can directly identify the address of the transaction, and achieves a better identification rate.

Description

technical field [0001] The invention belongs to the field of information technology and security technology, and in particular relates to a bitcoin exchange address identification method, system and device. Background technique [0002] During the financial crisis in 2008, various countries introduced loose monetary policies in response to the crisis, and the credit of sovereign currencies fell to a freezing point, making the centralized currency system based on national credit no longer so reliable. This is how Bitcoin was born. It has the characteristics of anonymity and decentralization. It uses blockchain technology to build public bills, ensure transaction security, and control the birth of new currencies. It has attracted more and more people's attention. However, criminals use its anonymity to carry out illegal transactions and easily escape legal sanctions. The most notorious ones are illegal drug trafficking and transnational money laundering along the Silk Road, an...

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Application Information

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IPC IPC(8): G06F16/9537
Inventor 梁嘉琦李林静曾大军
Owner INST OF AUTOMATION CHINESE ACAD OF SCI
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