Anomaly query identification method based on identification model, identification device and medium

Abstract

The invention discloses an anomaly query recognition method based on a recognition model, a recognition device and a medium, which are applied to the technical field of artificial intelligence. The method comprises the following steps: when receiving a policy inquiry request sent by a target terminal, acquiring target operation data on the target terminal within a preset time range; Inputting thetarget operation data into a preset abnormal behavior recognition model to obtain a target analysis result of a query operation corresponding to the insurance policy query request; According to the corresponding relationship between the preset analysis result and the control strategy, the control strategy corresponding to the target analysis result is determined, and the target terminal is controlled according to the determined control strategy. The application is helpful for improving the efficiency of abnormal query identification of insurance policies and reducing the identification overhead and labor cost.

Description

technical field [0001] The present application relates to the technical field of artificial intelligence, and in particular to a recognition model-based abnormal query recognition method, recognition equipment and media. Background technique [0002] At present, some insurance systems often inquire about user insurance policies abnormally, and some illegal elements steal a large amount of user privacy information through a large number of user insurance policies for marketing, or even conduct some illegal activities. At present, the identification of abnormal query behavior of insurance policies generally relies on manual research and judgment. This manual research and judgment method has the disadvantages of low efficiency and high cost. It cannot identify the abnormal query behavior in time, and the cost of this method is relatively high. Contents of the invention [0003] The embodiment of the present application provides a recognition model-based abnormal query recogni...

AI Technical Summary

Problems solved by technology

[0002] At present, some insurance systems often have abnormal inquiries about user insurance policies. Some illegal elements steal a large amount of user privacy information through a large number of user insurance policies for marketing, or even some illegal activities.

At present, the identification of abnormal query behavior of insurance policies generally relies on manual research and judgment. This manual research and judgment method has the disadvantages of low efficiency and high cost. The abnormal query behavior cannot be identified in time, and the cost of this method is relatively high.

Images