Identification method and device for high-risk transaction subject and server

Abstract

The embodiment of the invention provides an identification method for a high-risk transaction subject. The identification method comprises the following steps: constructing a transaction relation network by utilizing transaction data information; and according to related data in the transaction relationship network, calculating the probability that an unknown high-risk transaction subject is a high-risk transaction subject through a known high-risk transaction subject in the transaction data information, thereby identifying a new high-risk transaction subject. Therefore, more high-risk transactions can be effectively and timely identified by an e-commerce platform or a third-party payment company and the like, possible loss is prevented or reduced, normal operation of company services is guaranteed, and normal market order is maintained.

Description

technical field [0001] This specification relates to the field of computer technology, and in particular to a method, device and server for identifying high-risk transaction subjects. Background technique [0002] With the vigorous development of the mobile Internet, more and more ordinary consumers choose to use Alipay and other third-party payment tools instead of cash payment to complete transactions. These payment tools have greatly facilitated ordinary consumers. Whether they are shopping in a store, buying vegetables in a vegetable market, or taking a bus or subway, they only need to complete the payment through the mobile app without carrying cash. The vigorous development of third-party payment has also led to the emergence of some new risks that affect the security of financial data. For example, some merchants use false transactions to cash out credit cards, defraud, or extract marketing funds from related companies. The emergence of these risks not only disrupte...

AI Technical Summary

Problems solved by technology

The emergence of these risks not only disturbed the normal market order, but also brought huge losses to the relevant companies.

In this context, such hazards are often discovered after the event, and at this time the scale of the hazard or the loss is already relatively large, and subsequent remedies often involve huge human and physical costs and little effect.

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