Fraud recognition method and fraud recognition device

A transaction and node technology, applied in the network field, can solve problems such as identification of fraudulent behavior, and achieve the effect of accurate mining and accelerated convergence
CN107730262AActive Publication Date: 2018-02-23ADVANCED NEW TECH CO LTD
11 Cites 68 Cited by

Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
ADVANCED NEW TECH CO LTD
Publication Date
2018-02-23

Smart Images

  • Figure 1
    Figure 1
  • Figure 2
    Figure 2
  • Figure 3
    Figure 3
Patent Text Reader

Abstract

The embodiment of the invention provides a fraud recognition method and a fraud recognition device. The method comprises steps: a transaction data sample set is acquired, wherein each piece of transaction data in the sample set at least comprises fund flow information, transaction party correlation information and transaction data fraud risk attributes; a fraud spreading relation graph is built according to the sample set, wherein each node in the fraud spreading relation graph is built according to the transaction party correlation information, and the directed edge between the nodes is builtaccording to the fund flow information and the transaction party correlation information; an initial node value is assigned to each node in the fraud spreading relation graph; according to a PageRankiterative updating algorithm, the node value of each node is subjected to iterative updating until iterative convergence to obtain a final node value; and if the final node value is higher than a preset threshold, the corresponding node is determined to be a fraud person node, and the transaction data correlated to the fraud person node are fraud risk data.
Need to check novelty before this filing date? Find Prior Art

Description

Technical field

[0001] The present disclosure relates to the field of network technology, and in particular to a fraud identification method and device. Background technique

[0002] The financial sector has high requirements for transaction risk control, and it is necessary to ensure the safety of capital transactions. In actual applications, there may be some frauds. For example, fraudsters trick many ordinary consumers into transferring money to them, but they do not return corresponding returns to these consumers in order to make profits. In order to identify the above-mentioned fraudulent behaviors, identify high-risk fraudsters, and take measures to avoid consumer loss as much as possible, transaction models can be used to identify fraudsters. For example, a certain payment account is characterized as a fraudster account. Fund transactions conducted in the fraudster's account are classified as risky transactions.

[0003] However, there will still be some frauds that canno...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More