Plug-in identification model training method, device, electronic equipment and storage medium

Abstract

The present invention provides a method, device, electronic device, and storage medium for training a cheat recognition model. The method includes: determining the training samples of the cheat recognition model based on the behavior information of the target user, and determining the characteristics of the cheat portrait in the cheat recognition environment. ; According to the behavior information of the target user, determine the corresponding behavior sequence information; determine the model parameters that are compatible with the plug-in identification model, so that the behavior of the target user can be monitored in real time through the plug-in identification model, and According to the risk prediction results, the matching event execution strategy is executed, which makes the generalization ability and data processing ability of the cheat recognition model stronger, adapts to different cheat recognition environments, and reduces the robustness of the cheat recognition model. At the same time, there is no need to obtain a large number of labeled samples to train a model dedicated to identifying cheating behaviors, so the cost of identifying cheating behaviors can be effectively reduced.

Description

technical field [0001] The invention relates to a data processing technology in a neural network model, in particular to a training method, a device, an electronic device and a storage medium for a plug-in recognition model. Background technique [0002] Different network behavior information will be generated in different network behavior scenarios of online competitions, advertisements, and games. During this process, some network users will tamper with the original normal settings and rules of network behavior scenarios by using plug-ins. Significantly enhance the skills and abilities beyond the norm in the network behavior scene, so as to achieve the benefits of victory, reward and pleasure in the relaxed network behavior scene. Therefore, the use of game cheats will affect the fairness of the game and reduce the game experience of normal players, and the game cheats will generate a large amount of redundant data for the game server, seriously affecting the normal operat...

AI Technical Summary

Problems solved by technology

[0002] Different network behavior information will be generated in different network behavior scenarios of online competitions, advertisements, and games. During this process, some network users will tamper with the original normal settings and rules of network behavior scenarios by using plug-ins. Significantly enhance the skills and abilities beyond the norm in the network behavior scene, so as to achieve the benefits of victory, reward and pleasure in the relaxed network behavior scene. Therefore, the use of game cheats will affect the fairness of the game and reduce the game experience of normal players, and the game cheats will generate a large amount of redundant data for the game server, seriously affecting the normal operation of the game

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