Network behavior anti-cheating method and device and storage medium

Abstract

The invention provides a network behavior anti-cheating method and device and a storage medium. The method comprises: acquiring log record information of network behaviors; acquiring at least one piece of user account information and / or at least one piece of equipment identification information based on the log record information; obtaining at least one network behavior feature based on the at least one piece of user account information and / or the at least one piece of equipment identification information; inputting the at least one network behavior feature into an unsupervised identificationmodel for cheating identification processing to obtain a first identification result that the network behavior belongs to a cheating behavior; inputting the at least one network behavior feature intoa supervised identification model for cheating identification processing to obtain a second identification result that the network behavior belongs to the cheating behavior; and performing fusion analysis processing on the first identification result and the second identification result to obtain a cheating analysis result of the network behavior. The method can improve and reduce the false killing rate and improve the anti-cheating accuracy.

Description

technical field [0001] The present application belongs to the technical field of the Internet, and in particular relates to a network behavior anti-cheating method, device and storage medium. Background technique [0002] The network behavior anti-cheating method is a means to improve the security of proprietary networks by monitoring network traffic and paying attention to abnormal behaviors on the Internet. [0003] Most of the existing anti-cheating methods are based on rules and strategies, such as analyzing whether the hardware information International Mobile Equipment Identity (IMEI) meets the standards. , plus some behavior rules, and then use historical data to build a black database as a rule strategy for cheating behavior identification. [0004] However, the existing rule-based strategy methods have the following defects: poor adaptability, unable to adapt to new cheating modes, and when the cheating method changes, the rules also need to be iteratively changed;...

AI Technical Summary

Problems solved by technology

[0005] In order to improve the problems of poor adaptability, poor versatility, low coverage and high manslaughter rate of the anti-cheating method, this application proposes a network behavior anti-cheating method, device and storage medium

Images