首页> 外国专利> COLLABORATIVE LEARNING FOR EFFICIENT BEHAVIORAL ANALYSIS IN NETWORKED MOBILE DEVICE

COLLABORATIVE LEARNING FOR EFFICIENT BEHAVIORAL ANALYSIS IN NETWORKED MOBILE DEVICE

机译:网络化移动设备中高效行为分析的协作学习

摘要

Methods, systems and devices for classifying mobile device behaviors of a first mobile device may include the first mobile device monitoring mobile device behaviors to generate a behavior vector, and applying the behavior vector to a first classifier model to obtain a first determination of whether a mobile device behavior is benign or not benign. The first mobile device may also send the behavior vector to a second mobile device, which may receive and apply the behavior vector to a second classifier model to obtain a second determination of whether the mobile device behavior is benign or not benign. The second mobile device may send the second determination to the first mobile device, which may receive the second determination, collate the first determination and the second determination to generate collated results, and determine whether the mobile device behavior is benign or not benign based on the collated results.
机译:用于对第一移动设备的移动设备行为进行分类的方法,系统和设备可以包括:第一移动设备监视移动设备行为以生成行为矢量,并将该行为矢量应用于第一分类器模型以获得对是否移动设备的第一确定。设备行为是良性的还是非良性的。第一移动设备还可以将行为向量发送给第二移动设备,第二移动设备可以接收行为向量并将其应用于第二分类器模型,以获得对移动设备行为是否是良性的第二确定。第二移动设备可以将第二确定发送到第一移动设备,第一移动设备可以接收第二确定,比较第一确定和第二确定以生成比较结果,并且基于第二确定来确定移动设备行为是良性的还是非良性的。整理结果。

著录项

  • 公开/公告号WO2013173044A2

    专利类型

  • 公开/公告日2013-11-21

    原文格式PDF

  • 申请/专利权人 QUALCOMM INCORPORATED;

    申请/专利号WO2013US38414

  • 发明设计人 GATHALA ANIL;GUPTA RAJARSHI;

    申请日2013-04-26

  • 分类号H04W24;

  • 国家 WO

  • 入库时间 2022-08-21 15:53:15

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