Digital currency identification method and system based on multi-omics technology, and storage medium

Abstract

The invention discloses a digital currency identification method and system based on a multi-omics technology and a storage medium, and the method comprises the steps: constructing a similarity comparison network based on a gene co-expression network technology, and carrying out the correlation detection and analysis through big data, and obtaining the transaction data between adjacent nodes of the similarity comparison network; integrating different types of transaction data sets through a preset multi-layer heterogeneous network, and performing embedding through a preset graph convolution technology to obtain digital asset transaction data; and inputting the digital asset transaction data into a trained illegal transaction neural network model to obtain an analog output result, and extracting a transaction identification result. According to the method, the type of the transaction account and the specific transaction process are determined through multi-omics research, the problem account can be accurately tracked through integration analysis of multi-level and high-throughput omics data, and the method is rapid, efficient and high in accuracy; and meanwhile, the calculation efficiency and the use ductility can be greatly improved by utilizing distributed machine learning.

Description

technical field [0001] The present invention relates to the technical field of digital currency, and more specifically, to a digital currency identification method, system and storage medium based on multi-omics technology. Background technique [0002] Digital currencies are gaining popularity due to their strong security based on mathematical and cryptography principles, however, the emergence and proliferation of digital currencies allow users to circumvent fiat currencies and avoid censorship when spending or receiving money (BTC), On the one hand, this pseudo-anonymity allows users to hide their wealth and preserve their privacy, and on the other hand, it allows users to engage in illegal activities without the authorities finding the perpetrators. [0003] Some anti-money laundering solution agencies can accurately locate the relevant money laundering transaction accounts by adopting the three major functions of "visualized fund flow", "intelligent tracking" and "subje...

AI Technical Summary

Problems solved by technology

[0004] With the development of high-throughput technology, we can obtain a large amount of information and data about digital currency through the most advanced database. Money laundering accounts have their own characteristics in terms of visualized fund flow, intelligent tracking, and subject identification. However, collecting When it comes to raw account information, the complexity of account and transaction systems, technical limitations, a large number of samples and relatively few variables will affect the performance of existing technologies, including low application quality, large data security risks, and difficult data sharing.

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