Data exception identification method and device, storage medium and electronic equipment

Abstract

The invention discloses a data exception identification method and device, a storage medium and electronic equipment. The method comprises the steps of obtaining a data identification request; in response to the data identification request, obtaining attribute statistical characteristics and behavior sequence data corresponding to the log data, wherein the attribute statistical characteristics include characteristics obtained by performing statistics on parameter changes of a plurality of attribute parameters associated with a target account in the target time period, and behavior sequence data corresponding to the log data, and the behavior sequence data comprises time sequence data of behaviors executed by a virtual object controlled by the target account in a target time period; inputting the attribute statistical characteristics into a conversion model to obtain attribute combination characteristics output by the conversion model; and inputting the attribute combination features, the attribute statistical characteristics and the behavior sequence data into an identification model to obtain a data identification result output by the identification model. According to the invention, the technical problem of low accuracy of data exception identification is solved.

Description

technical field [0001] The present invention relates to the field of computers, in particular to a method, device, storage medium and electronic equipment for identifying abnormal data. Background technique [0002] In many game applications, in order to ensure the fairness of the game, it is often determined whether the game player is an abnormal player based on judging whether the log data generated by the historical game behavior of different players is abnormal. [0003] In the face of the abnormal identification of the above-mentioned log data, related technologies usually use the understanding of business knowledge, manually design some features and perform feature selection to obtain features of fixed dimensions, and then build machine learning models based on the designed features. form to learn the characteristics of high-quality players in the data. [0004] However, the artificially designed features cannot take into account the combined features between player a...

AI Technical Summary

Problems solved by technology

[0006] Embodiments of the present invention provide a data anomaly identification method, device, storage medium and electronic equipment to at least solve the technical problem of low accuracy in data anomaly identification

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