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    METHOD AND APPARATUS FOR IDENTIFICATION OF POINTS OF INTEREST WITHIN A PREDEFINED AREA
    101.
    发明申请
    METHOD AND APPARATUS FOR IDENTIFICATION OF POINTS OF INTEREST WITHIN A PREDEFINED AREA 有权
    用于识别在预定区域内的兴趣点的方法和装置

    公开(公告)号：US20140222334A1

    公开(公告)日：2014-08-07

    申请号：US14249269

    申请日：2014-04-09

    Applicant: QUALCOMM Incorporated

    Inventor： Rajarshi Gupta ,  Min-Wook Jeong

    IPC: G01S5/00

    CPC classification number: G01S5/0018 ,  G01S5/02

    Abstract: The subject matter disclosed herein relates to a system and method for identification of points of interest within a predefined area. Location estimates for substantially stationary mobile devices may be utilized to determine locations of one or more points of interest. Location estimates for mobile devices in motion may be utilized to determine locations of one or more corridors.

    Abstract translation: 本文公开的主题涉及用于识别预定区域内的兴趣点的系统和方法。 基本固定的移动设备的位置估计可用于确定一个或多个感兴趣点的位置。 运动中的移动设备的位置估计可用于确定一个或多个走廊的位置。

    Methods and Systems of Using Boosted Decision Stumps and Joint Feature Selection and Culling Algorithms for the Efficient Classification of Mobile Device Behaviors
    102.
    发明申请
    Methods and Systems of Using Boosted Decision Stumps and Joint Feature Selection and Culling Algorithms for the Efficient Classification of Mobile Device Behaviors 有权
    使用增强决策树的方法和系统以及移动设备行为的有效分类的联合特征选择和剔除算法

    公开(公告)号：US20140188781A1

    公开(公告)日：2014-07-03

    申请号：US14090261

    申请日：2013-11-26

    Applicant: QUALCOMM Incorporated

    Inventor： Kassem Fawaz ,  Vinay Sridhara ,  Rajarshi Gupta

    IPC: G06N5/02

    CPC classification number: G06N5/043 ,  G06N5/025

    Abstract: Methods and systems for classifying mobile device behavior include configuring a server use a large corpus of mobile device behaviors to generate a full classifier model that includes a finite state machine suitable for conversion into boosted decision stumps and/or which describes all or many of the features relevant to determining whether a mobile device behavior is benign or contributing to the mobile device's degradation over time. A mobile device may receive the full classifier model and use the model to generate a full set of boosted decision stumps from which a more focused or lean classifier model is generated by culling the full set to a subset suitable for efficiently determining whether mobile device behavior are benign. Boosted decision stumps may be culled by selecting all boosted decision stumps that depend upon a limited set of test conditions.

    Abstract translation: 用于分类移动设备行为的方法和系统包括配置服务器使用大的移动设备行为语料库来生成包括适合于转换为增强的决策树桩的有限状态机和/或描述所有或许多特征的完整分类器模型 与确定移动设备行为是否良好或对移动设备随着时间的退化有所贡献相关。 移动设备可以接收完整的分类器模型并且使用该模型来产生一整套增强的决策树桩，通过将整个集合剔除，从而可以通过将整个集合剔除，从而从中产生更集中或精确的分类器模型，适合于有效地确定移动设备行为是否 良性。 通过选择依赖于有限的测试条件的所有提升的决策树桩，可以剔除增强的决策树桩。

    METHODS AND SYSTEMS OF DYNAMICALLY GENERATING AND USING DEVICE-SPECIFIC AND DEVICE-STATE-SPECIFIC CLASSIFIER MODELS FOR THE EFFICIENT CLASSIFICATION OF MOBILE DEVICE BEHAVIORS
    103.
    发明申请
    METHODS AND SYSTEMS OF DYNAMICALLY GENERATING AND USING DEVICE-SPECIFIC AND DEVICE-STATE-SPECIFIC CLASSIFIER MODELS FOR THE EFFICIENT CLASSIFICATION OF MOBILE DEVICE BEHAVIORS 有权
    动态生成和使用特定设备和特定分类器模型的方法和系统，用于移动设备行为的有效分类

    公开(公告)号：US20140187177A1

    公开(公告)日：2014-07-03

    申请号：US14091707

    申请日：2013-11-27

    Applicant: QUALCOMM Incorporated

    Inventor： Vinay Sridhara ,  Rajarshi Gupta ,  Kassem Fawaz

    IPC: H04B17/00 ,  H04W24/02

    CPC classification number: H04B17/391 ,  G06N5/003 ,  G06N99/005

    Abstract: The various aspects provide a mobile device and methods implemented on the mobile device for modifying behavior models to account for device-specific or device-state-specific features. In the various aspects, a behavior analyzer module may leverage a full feature set of behavior models (i.e. a large classifier model) received from a network server to create lean classifier models for use in monitoring for malicious behavior on the mobile device, and the behavior analyzer module may dynamically modify these lean classifier models to include features specific to the mobile device and/or the mobile device's current configuration. Thus, the various aspects may enhance overall security for a particular mobile device by taking the mobile device and its current configuration into account and may improve overall performance by monitoring only features that are relevant to the mobile device.

    Abstract translation: 各个方面提供在移动设备上实现的移动设备和方法，用于修改行为模型以考虑设备特定或设备状态特定的特征。 在各个方面，行为分析器模块可以利用从网络服务器接收的行为模型（即大型分类器模型）的完整特征集来创建用于监视移动设备上的恶意行为的精简分类器模型，以及行为 分析器模块可以动态地修改这些精益分类器模型以包括特定于移动设备和/或移动设备的当前配置的特征。 因此，各个方面可以通过考虑移动设备及其当前配置来增强特定移动设备的总体安全性，并且可以通过仅监视与移动设备相关的特征来提高整体性能。

    Mobile device locating in conjunction with localized environments
    104.
    发明申请
    Mobile device locating in conjunction with localized environments 有权

    公开(公告)号：US20140066103A1

    公开(公告)日：2014-03-06

    申请号：US14072747

    申请日：2013-11-05

    Applicant: QUALCOMM Incorporated

    Inventor： Saumitra Mohan DAS ,  Ayman Fawzy Naguib ,  Rajarshi Gupta

    IPC: H04W4/02

    CPC classification number: H04W4/02 ,  G01C21/20 ,  G01C21/206 ,  G01S5/0036 ,  H04W4/021 ,  H04W4/029 ,  H04W4/043

    Abstract: The subject matter disclosed herein relates to systems, methods, apparatuses, articles, etc. for mobile device locating in conjunction with localized environments. For certain example implementations, a method may comprise obtaining at a mobile device one or more signals comprising information indicative of a location thereof. The information may be transmitted to one or more servers. A location context identifier (LCI) may be received responsive to the transmitting, with the LCI corresponding to a localized environment at which the mobile device is located. The LCI may be transmitted to the one or more servers. Location-based data may be received responsive to the transmitting of the LCI, with the location-based data being associated with the LCI and pertaining to the localized environment. The location of the mobile device may be determined with respect to the localized environment based, at least in part, on the location-based data. Other example implementations are described herein.

    COLLABORATIVE LEARNING FOR EFFICIENT BEHAVIORAL ANALYSIS IN NETWORKED MOBILE DEVICE
    105.
    发明申请
    COLLABORATIVE LEARNING FOR EFFICIENT BEHAVIORAL ANALYSIS IN NETWORKED MOBILE DEVICE 有权
    网络移动设备高效行为分析的协同学习

    公开(公告)号：US20130303159A1

    公开(公告)日：2013-11-14

    申请号：US13804518

    申请日：2013-03-14

    Applicant: QUALCOMM INCORPORATED

    Inventor： Anil Gathala ,  Rajarshi Gupta

    IPC: H04W24/00

    CPC classification number: G06F9/46 ,  G06F11/3013 ,  G06F11/3062 ,  G06F11/3082 ,  G06F11/3409 ,  G06F21/50 ,  G06F21/552 ,  G06F2201/86 ,  G06N5/043 ,  H04L41/06 ,  H04W24/00 ,  H04W24/02 ,  H04W52/0209

    Abstract: Methods, systems and devices for classifying mobile device behaviors of a first mobile device may include the first mobile device monitoring mobile device behaviors to generate a behavior vector, and applying the behavior vector to a first classifier model to obtain a first determination of whether a mobile device behavior is benign or not benign. The first mobile device may also send the behavior vector to a second mobile device, which may receive and apply the behavior vector to a second classifier model to obtain a second determination of whether the mobile device behavior is benign or not benign. The second mobile device may send the second determination to the first mobile device, which may receive the second determination, collate the first determination and the second determination to generate collated results, and determine whether the mobile device behavior is benign or not benign based on the collated results.

    Abstract translation: 用于分类第一移动设备的移动设备行为的方法，系统和设备可以包括第一移动设备监视移动设备行为以生成行为向量，以及将行为向量应用于第一分类器模型，以获得移动设备 设备行为是良性还是不良。 第一移动设备还可以将行为向量发送到第二移动设备，第二移动设备可以将行为向量接收并应用于第二分类器模型，以获得移动设备行为是否良性或良性的第二确定。 第二移动设备可以向可能接收第二确定的第一移动设备发送第二确定，对第一确定和第二确定进行整理以生成整理的结果，并且基于该第二确定来确定移动设备的行为是良性还是不良 整理结果。

    Radio model updating
    107.
    发明申请
    Radio model updating 有权
    无线电模型更新

    公开(公告)号：US20130184012A1

    公开(公告)日：2013-07-18

    申请号：US13781414

    申请日：2013-02-28

    Applicant: QUALCOMM Incorporated

    Inventor： Rajarshi Gupta ,  Ayman Fawzy Naguib ,  Alok Aggarwal ,  Saumitra Mohan Das ,  Vinay Sridhara

    IPC: H04W4/02 ,  H04W4/04

    CPC classification number: H04W4/023 ,  H04W4/043 ,  H04W64/00

    Abstract: The subject matter disclosed herein relates to systems, methods, apparatuses, devices, articles, and means for updating radio models. For certain example implementations, a method for one or more server devices may comprise receiving at one or more communication interfaces at least one measurement that corresponds to a position of a first mobile device within an indoor environment. At least one radio model that is stored in one or more memories may be updated based, at least in part, on the at least one measurement to produce at least one updated radio model. The at least one radio model and the at least one updated radio model may correspond to the indoor environment. The at least one updated radio model may be transmitted to enable a second mobile device to use the at least one updated radio model for positioning within the indoor environment. Other example implementations are described herein.

    Abstract translation: 本文公开的主题涉及用于更新无线电模型的系统，方法，装置，装置，物品和装置。 对于某些示例实现，用于一个或多个服务器设备的方法可以包括在一个或多个通信接口处接收与室内环境中的第一移动设备的位置相对应的至少一个测量。 至少一个存储在一个或多个存储器中的无线电模型可以至少部分地基于所述至少一个测量来更新，以产生至少一个更新的无线电模型。 所述至少一个无线电模型和所述至少一个更新的无线电模型可以对应于室内环境。 可以发送所述至少一个更新的无线电模型以使得第二移动设备能够使用至少一个更新的无线电模型来在室内环境内定位。 本文描述了其他示例实现。

    Methods and systems for location-based authentication using neighboring sensors
    109.
    发明授权
    Methods and systems for location-based authentication using neighboring sensors 有权

    公开(公告)号：US10154048B2

    公开(公告)日：2018-12-11

    申请号：US15074745

    申请日：2016-03-18

    Applicant: QUALCOMM Incorporated

    Inventor： Govindarajan Krishnamurthi ,  Saumitra Mohan Das ,  Rajarshi Gupta

    IPC: G06F11/00 ,  H04L29/06 ,  H04W4/04 ,  H04W4/40 ,  G06F21/35 ,  G08G1/01 ,  G06F12/14 ,  H04L29/08

    Abstract: Various embodiments include methods, and computing devices implementing the methods, for authenticating vehicle information by polling selected sensors. A server computing device receiving vehicle information from a reporting vehicle may compare the received vehicle information to contextual information to generate a comparison result, and determine whether the received vehicle information should be evaluated with greater scrutiny based on the comparison result. The server computing device may select sensors for polling based on the received vehicle information (and in response to determining that the received vehicle information should be evaluated with greater scrutiny), and poll the selected sensors to received sensor information. The server computing device may use the received sensor information to corroborate the received vehicle information, and perform a responsive action based on the result of the corroboration.

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