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    • 97. 发明公开
    • METHOD AND SYSTEM FOR INFERRING APPLICATION STATES BY PERFORMING BEHAVIORAL ANALYSIS OPERATIONS IN A MOBILE DEVICE
    • 方法和系统DERIVE从各国使用VERHALTUNGS分析操作在移动设备
    • EP3129856A1
    • 2017-02-15
    • EP15719909.2
    • 2015-04-03
    • Qualcomm Incorporated
    • SRIDHARA, VinayGUPTA, RajarshiRYCHLIK, Bohuslav
    • G06F1/32G06F21/55
    • G06F21/566G06F1/3206G06F9/4893
    • Methods, systems and devices compute and use the actual execution states of software applications to implement power saving schemes and to perform behavioral monitoring and analysis operations. A mobile device may be configured to monitor an activity of a software application, generate a shadow feature value that identifies actual execution state of the software application during that activity, generate a behavior vector that associates the monitored activity with the shadow feature value, and determine whether the activity is malicious or benign based on the generated behavior vector, shadow feature value and/or operating system execution states. The mobile device processor may also be configured to intelligently determine whether the execution state of a software application is relevant to determining whether any of the monitored mobile device behaviors are malicious or suspicious, and monitor only the execution states of the software applications for which such determinations are relevant.
    • 方法,系统和设备的计算和使用的软件应用程序的实际执行状态来实现节电方案和执行行为的监控和分析操作。 移动设备可以被配置为监控的软件应用程序的活性,产生一个阴影特征值做活动期间所做的软件应用的标识实际执行状态,生成行为向量做与带阴影特征值所监控的活动,以及确定的矿 无论活性是恶意的还是良性的基于所生成的行为向量,阴影特征值和/或操作系统的执行状态。 因此,移动设备处理器可以被配置为智能确定性矿山无论是软件应用程序的执行状态是相关的确定性矿业是否有任何监视移动设备的行为是恶意的或可疑的,并且只监视的软件应用程序,其寻求确定的执行状态 是相关的。