Abnormal payment data analysis method and system applied to big data risk control
A payment data and big data technology, applied in the field of big data risk control and online payment, can solve problems such as difficulty in analyzing abnormal interaction risks, difficulty in ensuring the quality of abnormal payment data analysis, and difficulty in effectively dealing with abnormal payment data risks with risk control processing technology , to achieve the effect of ensuring accuracy and reliability
Active Publication Date: 2022-03-08
北京汇收钱科技股份有限公司
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With the continuous expansion of the scale of online payment, the inventor found that the related risk control processing technology is difficult to effectively deal with abnormal payment data risks. Pay for the quality of data analytics
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[0021] In order to make the purposes, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments It is only a part of the embodiments of the present application, but not all the embodiments. The components of the embodiments of the application generally described and illustrated in the figures herein may be arranged and designed in a variety of different configurations.
[0022] Accordingly, the following detailed description of the embodiments of the application provided in the accompanying drawings is not intended to limit the scope of the claimed application, but merely represents selected embodiments of the application. Based on the embodiments in this application, all other embodiments obtained by persons of ord...
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According to the abnormal payment data analysis method and system applied to big data risk control, the propensity keyword statistical analysis is performed on the verification type interaction request log by means of the related AI intelligent network, and the keyword quantitative statistical result in the verification type interaction request log can be deeply analyzed through the AI intelligent network, so that the analysis efficiency is improved. Even if the problems of payment service interaction interference and the like exist in the digital payment interaction record triggering the risk control analysis condition, an accurate keyword quantitative statistical result can be obtained through analysis as much as possible, and the accuracy and credibility of abnormal interaction risk analysis are guaranteed to a certain extent. The risk control security of the target verification type interaction request can be analyzed in combination with the tendency keyword statistical analysis condition and the real-time payment service theme type positioning condition, and the real-time payment service theme type and the keyword quantitative statistical result are comprehensively combined in the risk control security analysis process. The quality of abnormal interaction risk analysis for different types of real-time payment service themes can be improved.
Description
technical field [0001] The embodiment of the present application relates to the technical fields of big data risk control and online payment, and specifically relates to a method and system for analyzing abnormal payment data applied to big data risk control. Background technique [0002] In the era of rapid development of Internet finance / online payment, risk control has become the focus of the industry, and the risk control model based on big data is becoming a popular sector in the field of Internet finance / online payment. At present, the risk control processing for Internet finance has been derived from credit services to online payment / cross-border payment and other services, which has brought considerable pressure to big data risk control. With the continuous expansion of the scale of online payment, the inventor found that the relevant risk control processing technology is difficult to effectively deal with abnormal payment data risks. Pay for the quality of data ana...
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IPC IPC(8): G06Q20/40G06Q20/38
CPCG06Q20/4016G06Q20/389
Inventor 黄义宝
Owner 北京汇收钱科技股份有限公司