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    • 4. 发明申请
    • Communicating Behavior Information in a Mobile Computing Device
    • 在移动计算设备中传达行为信息
    • US20130304869A1
    • 2013-11-14
    • US13796595
    • 2013-03-12
    • QUALCOMM INCORPORATED
    • Rajarshi GuptaSoorgoli Ashok HalambiSudha A. GathalaVinay Sridhara
    • G06F9/54
    • G06F9/541G06F21/44G06F21/554G06F21/564
    • Methods, systems and devices for communicating behavior analysis information using an application programming interface (API) may include receiving data/behavior models from one or more third-party network servers in a client module of a mobile device and communicating the information to a behavior observation and analysis system via a behavior API. The third-party servers may be maintained by one or more partner companies that have domain expertise in a particular area or technology that is relevant for identifying, analyzing, classifying, and/or reacting to mobile device behaviors, but that do not have access to (or knowledge of) the various mobile device sub-systems, interfaces, configurations, modules, processes, drivers, and/or hardware systems required to generate effective data/behavior models suitable for use by the mobile device. The behavior API and/or client modules allow the third-party server to quickly and efficiently access the most relevant and important information on the mobile device.
    • 用于使用应用编程接口(API)传达行为分析信息的方法,系统和设备可以包括从移动设备的客户端模块中的一个或多个第三方网络服务器接收数据/行为模型,并将该信息传达到行为观察 并通过行为API分析系统。 第三方服务器可能由一个或多个合作伙伴公司维护,这些合作公司在特定领域或技术方面具有与移动设备行为的识别,分析,分类和/或响应相关的领域专长,但无法访问 (或知道)生成适合于移动设备使用的有效数据/行为模型所需的各种移动设备子系统,接口,配置,模块,过程,驱动程序和/或硬件系统。 行为API和/或客户端模块允许第三方服务器快速有效地访问移动设备上最相关和重要的信息。
    • 6. 发明申请
    • SECURE BEHAVIOR ANALYSIS OVER TRUSTED EXECUTION ENVIRONMENT
    • 安全行为分析在有害执行环境中
    • US20160088009A1
    • 2016-03-24
    • US14957850
    • 2015-12-03
    • QUALCOMM Incorporated
    • Rajarshi GuptaSoorgoli Ashok HalambiYoram Rimoni
    • H04L29/06
    • H04L63/1425G06F21/554G06F21/57H04L63/1466H04W12/12H04W24/02H04W24/08
    • Systems and methods for recognizing and reacting to malicious or performance-degrading behaviors in a mobile computing device include observing mobile device behaviors in an observer module within a privileged-normal portion of a secure operating environment to identify a suspicious mobile device behavior. The observer module may generate a behavior vector based on the observations, and provide the vector to an analyzer module in an unprivileged-secure portion of the secure operating environment. The vector may be analyzed in the unprivileged-secure portion to determine whether the mobile device behavior is benign, suspicious, malicious, or performance-degrading. If the behavior is found to be suspicious, operations of the observer module may be adjusted, such as to perform deeper observations. If the behavior is found to be malicious or performance-degrading behavior the user and/or a client module may be alerted in a secure, tamper-proof manner.
    • 用于识别和响应移动计算设备中的恶意或性能降级行为的系统和方法包括观察安全操作环境的特权正常部分内的观察者模块中的移动设备行为,以识别可疑移动设备行为。 观察者模块可以基于观察结果生成行为向量,并将向量提供给安全操作环境的非特权安全部分中的分析器模块。 可以在非特权安全部分中分析向量,以确定移动设备行为是否是良性的,可疑的,恶意的或性能降级的。 如果发现行为是可疑的,则可以调整观察者模块的操作,例如执行更深的观察。 如果行为被发现是恶意的或降低性能的行为,则用户和/或客户端模块可能以安全,防篡改的方式被提醒。