Financial network doubtable money tracking and identifying method

Abstract

The invention discloses a financial network doubtable money tracking and identifying method, which comprises the following steps of: (1) building a financial transaction network topology graph: the financial transaction network topology graph is a graph visually displayed by the original financial transaction flow after the processing, and the graph includes all transaction relationships and money flow directions in the original financial transaction flow; (2) building a money flow direction analysis flow process: after the building of the transaction network topology graph is completed, the money flow direction analysis is performed on the graph, and the money flow direction analysis aims at tracking the specific flow direction of one or a plurality of sums of money; and (3) building a transaction relationship analysis flow process: after the building of the transaction network topology graph is completed, the money flow direction analysis is performed on the graph, and the transaction relationship analysis aims at mining the money flow relationship of suspected gangs to obtain great-number high-suspicion money paths.

Description

technical field [0001] The invention belongs to the technical field of data mining, and more specifically relates to a method for tracking and identifying suspicious funds in a financial network. Background technique [0002] Continuously improving the ability and level of public security organs to fight crime is the basis for creating a harmonious and stable social environment, a fair and just rule of law environment, and a high-quality and efficient service environment. Most criminal cases (such as: gambling, pyramid schemes and drug dealing, etc.) are closely related to financial transactions. [0003] The financial transaction relationships in criminal cases can basically be divided into two categories: 1) The persons involved in the case have multi-level relationships, such as pyramid schemes, which leads to the financial relationship of the entire case naturally becoming a multi-level network relationship. 2) In order to escape the crackdown, criminal suspects need to...

AI Technical Summary

Problems solved by technology

[0016] Aiming at the above defects or improvement needs of the prior art, the present invention provides a method for tracking and identifying suspicious funds in a financial network, which uses data mining and data visualization technologies to analyze relevant data of criminal cases, and solves the problem of manual processing in the prior art. Analyze the problems caused by high cost, low data accuracy, and heavy workload

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