Online fraud identification method and device, medium and electronic equipment

An identification method and technology of electronic equipment, applied in the computer field to achieve the effect of simple and convenient online fraud identification
CN110322254AActive Publication Date: 2019-10-11TONGDUN HLDG CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
TONGDUN HLDG CO LTD
Publication Date
2019-10-11

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Abstract

The embodiment of the invention provides an online fraud identification method and device, a computer readable storage medium and electronic equipment, and relates to the technical field of computers,and the method comprises the steps: receiving a fraud identification request containing current to-be-identified data; obtaining a current attribute and a current attribute value of the current to-be-identified data; and comparing the current attribute and the current attribute value with a cached fraudulent attribute set to obtain an online identification result whether the current to-be-identified data is fraudulent data or not. In the technical scheme of the embodiment of the invention, the current attribute of the current to-be-identified data and the current attribute value of the current to-be-identified data are acquired and then compared with the cached fraud attribute set, so that fraud identification of the current to-be-identified data is realized, and online fraud identification can be simply and conveniently carried out without changing a modulo graph relationship network.
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Description

technical field

[0001] The present disclosure relates to the field of computer technology, in particular, to an online fraud identification method, device, computer-readable storage medium and electronic equipment. Background technique

[0002] With the continuous development of the Internet, the black industry chain, that is, black industry, is also constantly developing. The specific manifestations are data leakage, continuous development of black industry technology, and huge number of black industry practitioners.

[0003] When identifying black products based on rules and strategies, if a risk occurs, it is necessary to manually add and modify rules, but fraud and black product gangs often choose early morning and rest periods, and are triggered regularly through machine scripts, which will lead to rules Strategies are difficult to work in time.

[0004] When a supervised machine learning model is used to identify fraudulent behavior, the number of fraudulent black sam...

Claims

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