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SYSTEM FOR DETECTING ABNORMAL BEHAVIOR ON BASIS OF INTEGRATED ANALYSIS MODEL, AND METHOD THEREFOR

机译:基于综合分析模型的异常行为检测系统及方法

摘要

The present invention is a technology relating to a system for detecting an abnormal behavior and a method therefor. The system for detecting an abnormal behavior, according to one embodiment, comprises: an information reception unit for receiving usage information based on the use of digital content; a model generation unit for generating, by machine-learning the received usage information, an analysis model for detecting the abnormal behavior on the basis of the use of the digital content; a model transmission unit for transmitting the analysis model to a cloud server; and an abnormal behavior detection unit for receiving an integrated analysis model from the cloud server and detecting the abnormal behavior on the basis of the integrated analysis model and/or the generated analysis model, wherein the cloud server collects the transmitted analysis model and generates the integrated analysis model by machine-learning the collected analysis model.
机译:本发明是涉及用于检测异常行为的系统及其方法的技术。根据一个实施例,用于检测异常行为的系统包括:信息接收单元,用于基于数字内容的使用来接收使用信息;以及模型生成单元,用于通过机器学习所接收的使用信息来生成用于基于数字内容的使用来检测异常行为的分析模型;模型发送单元,用于将分析模型发送到云服务器;异常行为检测单元,用于从云服务器接收集成分析模型,并基于集成分析模型和/或生成的分析模型检测异常行为,其中,云服务器收集传输的分析模型并生成集成通过机器学习收集的分析模型来获得分析模型。

著录项

  • 公开/公告号WO2019066099A1

    专利类型

  • 公开/公告日2019-04-04

    原文格式PDF

  • 申请/专利权人 ALTICAST CORPORATION;

    申请/专利号WO2017KR10760

  • 发明设计人 CHO CHANG HOON;MIN JUNG KI;

    申请日2017-09-27

  • 分类号H04L29/06;H04L12/24;G06N99;

  • 国家 WO

  • 入库时间 2022-08-21 11:55:27

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