BEHAVIORAL ANALYSIS TO AUTOMATE DIRECT AND INDIRECT LOCAL MONITORING OF INTERNET OF THINGS DEVICE HEALTH
    1.
    发明申请
    BEHAVIORAL ANALYSIS TO AUTOMATE DIRECT AND INDIRECT LOCAL MONITORING OF INTERNET OF THINGS DEVICE HEALTH 有权
    自动进行直接和间接监控互联网设备健康的行为分析

    公开(公告)号:US20160261465A1

    公开(公告)日:2016-09-08

    申请号:US14638602

    申请日:2015-03-04

    Abstract: The disclosure generally relates to behavioral analysis to automate monitoring Internet of Things (IoT) device health in a direct and/or indirect manner. In particular, normal behavior associated with an IoT device in a local IoT network may be modeled such that behaviors observed at the IoT device may be compared to the modeled normal behavior to determine whether the behaviors observed at the IoT device are normal or anomalous. Accordingly, in a distributed IoT environment, more powerful “analyzer” devices can collect behaviors locally observed at other (e.g., simpler) “observer” devices and conduct behavioral analysis across the distributed IoT environment to detect anomalies potentially indicating malicious attacks, malfunctions, or other issues that require customer service and/or further attention. Furthermore, devices with sufficient capabilities may conduct (local) on-device behavioral analysis to detect anomalous conditions without sending locally observed behaviors to another aggregator device and/or analyzer device.

    Abstract translation: 本公开通常涉及以直接和/或间接方式自动监视物联网(IoT)设备健康状况的行为分析。 特别地,可以建模与本地IoT网络中的IoT设备相关联的正常行为,使得可以将在IoT设备处观察到的行为与建模的正常行为进行比较,以确定在IoT设备处观察到的行为是正常还是异常。 因此,在分布式IoT环境中,更强大的“分析器”设备可以收集在其他(例如更简单的)“观察者”设备本地观察到的行为,并在分布式IoT环境中进行行为分析,以检测潜在地指示恶意攻击,故障或 其他需要客户服务和/或进一步关注的问题。 此外,具有足够能力的设备可以进行(本地)设备上行为分析以检测异常情况,而不将本地观察到的行为发送到另一聚合器设备和/或分析仪设备。

    USER-CONTROLLABLE SCREEN PRIVACY SOFTWARE

    公开(公告)号:US20170255786A1

    公开(公告)日:2017-09-07

    申请号:US15059230

    申请日:2016-03-02

    Abstract: The disclosure relates to software that provides fine-grained user control over when and how a software-based privacy filter is used to reduce clarity and/or visibility associated with content rendered on a display screen. For example, according to various aspects, the software may have access to the display screen and various other components that can be used to detect and/or track a current context associated with information displayed on the screen. As such, based on the current context, the software may determine an area displayed on a screen having current interest to one or more authorized users and activate a software-based privacy filter configured to reduce the clarity and/or visibility associated with information displayed on the screen outside the area having the current interest to the one or more authorized users as needed (e.g., based on a sensitivity level associated with the displayed information, sensor-based inputs indicating a sensitive context, etc.).

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