Autonomous learning business risk control rule engine system and risk assessment method

Abstract

The invention provides an autonomous learning business risk control rule engine system and a risk assessment method. The system comprises a service data fan out assembly, a time series data storage system, a time series data analysis system and a real-time risk control rule engine, and the service data fan out assembly performs mirror image copying on log data from a service system and distributesthe log data to the time series data storage system and the real-time risk control rule engine; the time series data storage system stores the log data as time series service data in a time series form; the time series data analysis system performs statistical analysis on the time series service data at fixed time intervals, finds out characteristic values of abnormal data and abstracts the characteristic values into dynamic prevention and control rules; and the real-time risk control rule engine executes predefined prevention and control rules and dynamic prevention and control rules on thelog data one by one, and returns a risk assessment result obtained by execution to the business system. The invention has the advantages that the real-time performance of risk control rule protectionis guaranteed, and the automation degree of the risk control rule engine is improved.

Description

technical field [0001] The invention relates to the technical field of Internet risk control, in particular to a self-learning business risk control rule engine system and a risk assessment method. Background technique [0002] For Internet e-commerce companies, they have always been plagued by Internet fraud and illegal behaviors, such as malicious participation of users in grabbing red envelopes, flash sales, grabbing orders, etc., commodity graphics containing illegal content such as pornography, violence, and spam advertisements, malicious merchants, etc. Brush sales, praise, etc. [0003] At present, the main means of combating these malicious behaviors is the risk control rule engine system. Specifically, through the analysis of business log data by operators, some business prevention and control rules are extracted, and these prevention and control rules are written into a risk control rule engine; Every time the system receives an external request, it will pass the ...

AI Technical Summary

Problems solved by technology

That is to say, the implementation plan requires business personnel to manually analyze the business log data after a large amount of post-event analysis before defining the prevention and control rules and releasing them online. The timing of malicious attacks makes these prevention and control rules unable to prevent and control in time, and cannot achieve real-time protection of enterprise assets

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