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A method and a system for identifying abnormal transactions based on a fund transaction network

A transaction network and abnormal transaction technology, applied in finance, data processing applications, instruments, etc., can solve the problems of small help in money laundering investigation work, inability to accurately and comprehensively discover abnormal transactions, and achieve the effect of reducing workload

Active Publication Date: 2019-03-12
北京领雁科技股份有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] In order to solve the problems existing in the prior art that abnormal transactions cannot be found accurately and comprehensively, and the investigation of money laundering is less helpful, the present invention innovatively provides an abnormal transaction identification method and system based on a fund transaction network, from which abnormal transactions Starting from the characteristics of the behavior itself, based on the risk characteristics of abnormal transaction behaviors, and relying on the construction of the capital transaction network, the present invention can completely restore the money laundering process and money laundering scenarios, and provide strong support and assistance for the investigation of money laundering behaviors

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  • A method and a system for identifying abnormal transactions based on a fund transaction network
  • A method and a system for identifying abnormal transactions based on a fund transaction network
  • A method and a system for identifying abnormal transactions based on a fund transaction network

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Embodiment 1

[0064] This embodiment discloses a method for identifying abnormal transactions based on a capital transaction network. The identification of abnormal transactions (including money laundering risks) in the present invention is based on bank customer data, account data, and various transaction records, such as figure 1 As shown, the abnormal transaction identification method includes the following steps.

[0065] Step S1, obtain the bank's transaction-related data, and standardize the acquired transaction-related data, so as to convert the transaction-related data into multiple types of subject data, such as converting the data of the credit system, the national knot system, and the core system into the same subject Standards, build a data mart through multiple types of subject data, which is used as the basis for identifying abnormal transactions; in this embodiment, multiple types of subject data include customer subject data, account subject data, and transaction subject data...

Embodiment 2

[0082] Such as Figure 5 As shown, based on the same inventive concept as Embodiment 1, this embodiment provides an abnormal transaction identification system based on a capital transaction network for implementing the abnormal transaction identification method of Embodiment 1. The abnormal transaction identification system includes: data The market construction module, basic index mining module, risk feature generation module, transaction network construction module, suspicious case generation module, screening report generation module and risk model establishment module are described in detail in this embodiment as follows.

[0083] The data mart building module is used to standardize the acquired transaction-related data, so as to convert the transaction-related data into multi-category subject data, and to construct a data mart through multi-category subject data.

[0084] The basic index mining module is used to process multiple types of subject data in the data mart thro...

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Abstract

The invention discloses a method and a system for identifying abnormal transactions based on a fund transaction network, The abnormal transaction identification method comprises the following steps: the step of constructing a data mart through multi-subject data, the step of determining the basic index data, the step of generating the first risk characteristic data, the step of forming a pluralityof fund transaction networks based on the transaction data, the step of generating suspicious cases of abnormal transactions and the step of generating suspicious screening reports; The abnormal transaction identification system includes: data mart building module, basic index mining module, risk characteristics generation module, transaction network building module, suspicious case generation module and screening report generation module. Based on the established fund transaction network and transaction risk model, the invention can completely restore the money laundering process and the money laundering scene, and provides strong support and assistance for the money laundering behavior investigation. The invention also has the prominent advantages of high precision, good comprehensiveness, strong objectivity and the like.

Description

technical field [0001] The present invention relates to the technical field of transaction data processing, and more specifically, the present invention relates to a method and system for identifying abnormal transactions based on a capital transaction network. Background technique [0002] Anti-money laundering often refers to the prevention of the source and nature of the proceeds of crimes such as concealing and concealing drug crimes, gangland-like organized crimes, terrorist crimes, smuggling crimes, corruption and bribery crimes, and crimes that disrupt financial management order. Money laundering activities, the main activities of money laundering are basically realized through financial transactions, so it is possible to detect money laundering by checking financial transactions, but it is impossible to manually check massive amounts of financial transaction data and find money laundering behaviors; in view of Therefore, the existing technology adopts methods such as...

Claims

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Application Information

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IPC IPC(8): G06Q40/04G06Q50/26
CPCG06Q40/04G06Q50/26
Inventor 梁春雨李治宇丁珂胡佰庆沈建
Owner 北京领雁科技股份有限公司
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