Order fraud identification method and system, storage medium and electronic device

A technology for identifying methods and orders, applied in the Internet field, can solve problems such as hindering the efficiency of risk control

Inactive Publication Date: 2017-12-15
SHANGHAI CTRIP COMMERCE CO LTD
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  • Description
  • Claims
  • Application Information

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Problems solved by technology

The contradiction between the hysteresis of the traditional Bayesian model and the

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  • Order fraud identification method and system, storage medium and electronic device
  • Order fraud identification method and system, storage medium and electronic device
  • Order fraud identification method and system, storage medium and electronic device

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Embodiment Construction

[0045] Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete and fully convey the concept of example embodiments to those skilled in the art. The described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments.

[0046]Furthermore, the drawings are merely schematic illustrations of the invention and are not necessarily drawn to scale. The same reference numerals in the drawings denote the same or similar parts, and thus repeated descriptions thereof will be omitted. Some of the block diagrams shown in the drawings are functional entities and do not necessarily correspond to physically or logically separate entities. These functional entities may be implemen...

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Abstract

The invention provides an order fraud identification method and system, a storage medium and an electronic device. The method includes the following steps: acquiring all historical orders, and establishing a fraud order library and a non-fraud order library; selecting feature attributes, and calculating the conditional probability of each feature attribute based on different values; acquiring a current order, extracting multiple feature attributes of the current order, and calculating the fraud risk of the current order according to the conditional probability of the Bayesian model; determining whether the fraud risk of the current order exceeds a risk threshold; if the fraud risk of the current order exceeds the risk threshold, refusing to deal, and adding the current order to the fraud order library; if the fraud risk of the current order does not exceed the risk threshold, agreeing to deal, and adding the current order to the non-fraud order library; and ending the fraud identification of the current order, recalculating the conditional probability based on the fraud order library and the non-fraud order library updated, and executing fraud identification. According to the invention, a new fraud scene can be detected the first time, the existing fraud rules and models can be improved in time, and the efficiency of risk control is greatly improved.

Description

technical field [0001] The invention relates to the technical field of the Internet, in particular to an order fraud identification method, system, storage medium and electronic equipment. Background technique [0002] With the rapid development of the Internet industry, more and more fraudsters use Internet transactions to cash out stolen bank card information. In the massive daily bank card transactions on the Internet platform, there are hidden fraudulent transactions from these criminals. If the fraudulent transactions are successful, the interests of cardholders and the Internet platform will be damaged. In order to prevent fraudulent transactions, there are thousands of fraud blocking rules and models on the risk control and anti-fraud platform of the Internet platform to protect the security of transactions. Bayesian algorithm, as one of them, plays an important role. [0003] The construction process of the traditional Bayesian model is: first select the modeling sa...

Claims

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Application Information

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IPC IPC(8): G06Q30/00G06Q30/06
CPCG06Q30/0185G06Q30/0635
Inventor 赵娟娟刘杰
Owner SHANGHAI CTRIP COMMERCE CO LTD
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