Indoor positioning in the presence of dynamic transmission power control access points
    96.
    发明授权
    Indoor positioning in the presence of dynamic transmission power control access points 有权
    存在动态发射功率控制接入点的室内定位

    公开(公告)号:US09560622B2

    公开(公告)日:2017-01-31

    申请号:US14731264

    申请日:2015-06-04

    CPC classification number: H04W64/00 G01S5/0063 G01S5/0252 H04W24/02 H04W52/28

    Abstract: A position fix for a mobile platform is determined using RSSI values for wireless signals received from access points (APs), at least one of which has dynamic transmission power control. The transmission power data for the APs is received from an entity separate from the APs, e.g., a central entity or a positioning assistance server. The RSSI values for wireless signals received from the APs are acquired, as is an RSSI heatmap. Using the transmission power data, the RSSI values and the RSSI heatmap, the position fix for the mobile platform is determined. The position fix may be determined by the mobile platform or a positioning assistance server. Additionally, a server may receive transmission power data for APs and may provide to a mobile platform RSSI heatmap information based on the transmission power data. The RSSI heatmap information may be, e.g., the transmission power data or a RSSI heatmap.

    Abstract translation: 使用从接入点(AP)接收的无线信号的RSSI值确定移动平台的位置固定,其中至少一个具有动态发射功率控制。 从与AP分离的实体(例如中央实体或定位辅助服务器)接收AP的发射功率数据。 获取从AP接收的无线信号的RSSI值,以及RSSI热图。 使用发射功率数据,RSSI值和RSSI热图,确定移动平台的定位。 位置锁定可以由移动平台或定位辅助服务器确定。 此外,服务器可以接收AP的发送功率数据,并且可以基于发送功率数据向移动平台提供RSSI热图信息。 RSSI热图信息可以是例如发送功率数据或RSSI热图。

    Customized Network Traffic Models To Detect Application Anomalies
    98.
    发明申请
    Customized Network Traffic Models To Detect Application Anomalies 有权
    定制网络流量模型来检测应用程序异常

    公开(公告)号:US20160381057A1

    公开(公告)日:2016-12-29

    申请号:US14753666

    申请日:2015-06-29

    Abstract: Systems, methods, and devices of the various aspects enable identification of anomalous application behavior. A computing device processor may detect network communication activity of an application on the computing device. The processor may identify one or more device states of the computing device, and one or more categories of the application. The processor may determine whether the application is behaving anomalously based on a correlation of the detected network communication activity of the application, the identified one or more device states of the computing device, and the identified one or more categories of the application.

    Abstract translation: 各个方面的系统,方法和设备能够识别异常的应用行为。 计算设备处理器可以检测计算设备上的应用的网络通信活动。 处理器可以识别计算设备的一个或多个设备状态,以及应用的一个或多个类别。 处理器可以基于检测到的应用的网络通信活动,所识别的计算设备的一个或多个设备状态与所识别的一个或多个应用类别之间的相关性,来确定应用是否是异常行为。

    Methods and Systems for Behavior-Specific Actuation for Real-Time Whitelisting
    99.
    发明申请
    Methods and Systems for Behavior-Specific Actuation for Real-Time Whitelisting 审中-公开
    用于实时白名单的行为特定动作的方法和系统

    公开(公告)号:US20160337390A1

    公开(公告)日:2016-11-17

    申请号:US14849849

    申请日:2015-09-10

    Abstract: Various embodiments include methods of evaluating device behaviors in a computing device and enabling white listing of particular behaviors. Various embodiments may include monitoring activities of a software application operating on the computing device, and generating a behavior vector information structure that characterizes a first monitored activity of the software application. The behavior vector information structure may be applied to a machine learning classifier model to generate analysis results. The analysis results may be used to classify the first monitored activity of the software application as one of benign, suspicious, and non-benign. A prompt may be displayed to the user that requests that the user select whether to whitelist the software application in response to classifying the first monitored activity of the software application as suspicious or non-benign. The first monitored activity may be added to a whitelist of device behaviors in response to receiving a user input.

    Abstract translation: 各种实施例包括评估计算设备中的设备行为并实现特定行为的白名单的方法。 各种实施例可以包括在计算设备上操作的软件应用程序的监视活动,以及生成表征软件应用程序的第一监视活动的行为向量信息结构。 行为矢量信息结构可以应用于机器学习分类器模型,以生成分析结果。 分析结果可用于将软件应用程序的第一个监视活动分类为良性,可疑和非良性之一。 可以向用户显示提示,要求用户选择是否将软件应用程序的第一被监视活动分类为可疑或非良性,以便将软件应用程序列入白名单。 响应于接收到用户输入,第一个被监视的活动可以被添加到设备行为的白名单中。

    Methods and apparatuses for user-based positioning and assistance data
    100.
    发明授权
    Methods and apparatuses for user-based positioning and assistance data 有权
    用户定位和辅助数据的方法和装置

    公开(公告)号:US09462413B2

    公开(公告)日:2016-10-04

    申请号:US14213595

    申请日:2014-03-14

    Abstract: Methods and apparatuses of providing assistance data of a venue to a mobile device are disclosed. According to aspects of the present disclosure, for the same area, multiple or different versions of assistance data may be generated. Restrictions may be applied by access area, such that positioning grid, heat maps, and maps can be restricted to certain sections of the venue; and point of interests (POIs) and search features may be provided based on at least one of user credentials, time-based restrictions, ticket-based restrictions, or loyalty-based restrictions, or any combination thereof.

    Abstract translation: 公开了向移动设备提供场地辅助数据的方法和设备。 根据本公开的方面,对于相同的区域,可以生成辅助数据的多个或不同版本。 接入区域可以应用限制,使得定位网格,热图和地图可以限制在场地的某些部分; 和兴趣点(POI)和搜索特征可以基于用户凭证,基于时间的限制,基于票据的限制或基于忠诚度的限制中的至少一个或其任何组合来提供。

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