首页> 外国专利> DETECTION AND IDENTIFICATION OF POTENTIALLY HARMFUL APPLICATIONS BASED ON DETECTION AND ANALYSIS OF MALWARE/SPYWARE INDICATORS

DETECTION AND IDENTIFICATION OF POTENTIALLY HARMFUL APPLICATIONS BASED ON DETECTION AND ANALYSIS OF MALWARE/SPYWARE INDICATORS

机译:基于恶意软件/间谍软件指标的检测与分析的潜在有害应用程序的检测与识别

摘要

Systems and methods for detecting and identifying malware/potentially harmful applications based on behavior characteristics of a mobile application are disclosed. One embodiment of a method of detecting a potentially harmful application includes detecting behavior characteristics of a mobile device and, based on those detected behavior characteristics, identifying one or more indicators that the mobile application is a potentially harmful application. Those indicators are then analyzed to determine whether the application is a potentially harmful application.
机译:公开了用于基于移动应用的行为特征来检测和识别恶意软件/潜在有害应用的系统和方法。一种检测潜在有害应用程序的方法的一个实施例包括检测移动设备的行为特征,并基于那些检测到的行为特征,识别一个或多个指示该移动应用程序是潜在有害应用程序的指示符。然后分析那些指标以确定该应用程序是否是潜在有害的应用程序。

著录项

  • 公开/公告号US2019174319A1

    专利类型

  • 公开/公告日2019-06-06

    原文格式PDF

  • 申请/专利权人 SEVEN NETWORKS LLC;

    申请/专利号US201816206020

  • 申请日2018-11-30

  • 分类号H04W12/12;H04L29/06;H04W12;

  • 国家 US

  • 入库时间 2022-08-21 12:05:16

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