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    MALWARE DATA ITEM ANALYSIS
    1.
    发明申请
    MALWARE DATA ITEM ANALYSIS 审中-公开

    公开(公告)号：US20180046801A1

    公开(公告)日：2018-02-15

    申请号：US15726917

    申请日：2017-10-06

    Applicant: Palantir Technologies Inc.

    Inventor： Matthew Falk ,  Timothy Yousaf ,  Joseph Staehle ,  Lucas Lemanowicz ,  Sebastien Noury ,  Robin Lim ,  Michael Glazer

    IPC: G06F21/56 ,  G06F21/62 ,  H04L29/06

    CPC classification number: G06F21/56 ,  G06F21/6209 ,  G06F21/6218 ,  G06F2221/034 ,  H04L63/105

    Abstract: Embodiments of the present disclosure relate to a data analysis system that may automatically analyze a suspected malware file, or group of files. Automatic analysis of the suspected malware file(s) may include one or more automatic analysis techniques. Automatic analysis of may include production and gathering of various items of information related to the suspected malware file(s) including, for example, calculated hashes, file properties, academic analysis information, file execution information, third-party analysis information, and/or the like. The analysis information may be automatically associated with the suspected malware file(s), and a user interface may be generated in which the various analysis information items are presented to a human analyst such that the analyst may quickly and efficiently evaluate the suspected malware file(s). For example, the analyst may quickly determine one or more characteristics of the suspected malware file(s), whether or not the file(s) is malware, and/or a threat level of the file(s).

    Malware data item analysis
    3.
    发明授权
    Malware data item analysis 有权

    公开(公告)号：US09785773B2

    公开(公告)日：2017-10-10

    申请号：US14668833

    申请日：2015-03-25

    Applicant: Palantir Technologies Inc.

    Inventor： Matthew Falk ,  Timothy Yousaf ,  Joseph Staehle ,  Lucas Lemanowicz ,  Sebastien Noury ,  Robin Lim ,  Michael Glazer

    IPC: G06F21/56 ,  H04L29/06 ,  G06F21/62

    CPC classification number: G06F21/56 ,  G06F21/6209 ,  G06F21/6218 ,  G06F2221/034 ,  H04L63/105

    Abstract: Embodiments of the present disclosure relate to a data analysis system that may automatically analyze a suspected malware file, or group of files. Automatic analysis of the suspected malware file(s) may include one or more automatic analysis techniques. Automatic analysis of may include production and gathering of various items of information related to the suspected malware file(s) including, for example, calculated hashes, file properties, academic analysis information, file execution information, third-party analysis information, and/or the like. The analysis information may be automatically associated with the suspected malware file(s), and a user interface may be generated in which the various analysis information items are presented to a human analyst such that the analyst may quickly and efficiently evaluate the suspected malware file(s). For example, the analyst may quickly determine one or more characteristics of the suspected malware file(s), whether or not the file(s) is malware, and/or a threat level of the file(s).

    MALWARE DATA ITEM ANALYSIS
    4.
    发明申请
    MALWARE DATA ITEM ANALYSIS 有权
    恶意数据项目分析

    公开(公告)号：US20160004864A1

    公开(公告)日：2016-01-07

    申请号：US14668833

    申请日：2015-03-25

    Applicant: Palantir Technologies Inc.

    Inventor： Matthew Falk ,  Timothy Yousaf ,  Joseph Staehle ,  Lucas Lemanowicz ,  Sebastien Noury ,  Robin Lim ,  Michael Glazer

    IPC: G06F21/56

    CPC classification number: G06F21/56 ,  G06F21/6209 ,  G06F21/6218 ,  G06F2221/034 ,  H04L63/105

    Abstract: Embodiments of the present disclosure relate to a data analysis system that may automatically analyze a suspected malware file, or group of files. Automatic analysis of the suspected malware file(s) may include one or more automatic analysis techniques. Automatic analysis of may include production and gathering of various items of information related to the suspected malware file(s) including, for example, calculated hashes, file properties, academic analysis information, file execution information, third-party analysis information, and/or the like. The analysis information may be automatically associated with the suspected malware file(s), and a user interface may be generated in which the various analysis information items are presented to a human analyst such that the analyst may quickly and efficiently evaluate the suspected malware file(s). For example, the analyst may quickly determine one or more characteristics of the suspected malware file(s), whether or not the file(s) is malware, and/or a threat level of the file(s).

    Abstract translation: 本公开的实施例涉及可以自动分析可疑的恶意软件文件或文件组的数据分析系统。 可疑恶意软件文件的自动分析可能包括一个或多个自动分析技术。 自动分析可能包括生成和收集与疑似恶意软件文件相关的各种信息项，包括例如计算散列，文件属性，学术分析信息，文件执行信息，第三方分析信息和/或 类似。 分析信息可以自动地与可疑的恶意软件文件相关联，并且可以生成用户界面，其中将各种分析信息项目呈现给人类分析人员，使得分析者可以快速有效地评估可疑的恶意软件文件（ s）。 例如，分析人员可能会快速确定可疑恶意软件文件的一个或多个特征，无论文件是恶意软件，还是文件的威胁级别。

    Interactive vehicle information map
    5.
    发明授权
    Interactive vehicle information map 有权
    交互式车辆信息图

    公开(公告)号：US09021384B1

    公开(公告)日：2015-04-28

    申请号：US14294098

    申请日：2014-06-02

    Applicant: Palantir Technologies Inc.

    Inventor： Mitchell Beard ,  Michael Glazer ,  Robin Lim ,  Sina Iman ,  Mark Basoa ,  Tristan Huber ,  Paul Ryan ,  Youssef Moussaoui ,  Bonnie McLindon ,  Nick White ,  Alexander Vasilyev ,  Mark Lundquist

    IPC: G06F3/048 ,  G06K9/00 ,  G06F17/30 ,  G06F3/0481 ,  G06F3/0484

    CPC classification number: G06F3/0481 ,  G06F3/04842 ,  G06F17/30241 ,  G06F17/30274 ,  G06K9/00825

    Abstract: An interactive vehicle information map system is disclosed in which, in various embodiments, geographical, geospatial, vehicle, and other types of data, geodata, objects, features, and/or metadata are efficiently presented to a user on an interactive map interface. In an embodiment, the user may search vehicle-related data via the interactive map by providing search criteria including, for example, information regarding a geographic area, a time period, a vehicle, a vehicle owner, and/or a license plate number, among other items. The map system may provide search results including a list of vehicles that match the search criteria, vehicle information, and/or points on the interactive map that indicate license-plate recognition read locations, among other information. In an embodiment, the user may view detailed information associated with particular vehicles including, for example, captured images, vehicle-owner data, event history, and the like. Further, the user may export data and/or create search alerts.

    Abstract translation: 公开了一种交互式车辆信息地图系统，其中在各种实施例中，地理，地理空间，车辆和其他类型的数据，地理数据，对象，特征和/或元数据被有效地呈现给交互式地图界面上的用户。 在一个实施例中，用户可以通过提供包括例如关于地理区域，时间段，车辆，车主和/或车牌号码的信息的搜索标准来经由交互式地图搜索车辆相关数据， 其他项目。 地图系统可以提供搜索结果，其中包括与表示车牌识别读取位置的指示牌识别读取位置相匹配的搜索条件，车辆信息和/或交互式地图上的点的车辆列表。 在一个实施例中，用户可以查看与特定车辆相关联的详细信息，包括例如所捕获的图像，车主数据，事件历史等。 此外，用户可以导出数据和/或创建搜索警报。

    System with methodology for dynamic modular ontology
    6.
    发明授权
    System with methodology for dynamic modular ontology 有权

    公开(公告)号：US10803106B1

    公开(公告)日：2020-10-13

    申请号：US14630472

    申请日：2015-02-24

    Applicant: Palantir Technologies Inc.

    Inventor： Mitch Beard ,  Mike Glazer ,  Robin Lim ,  Joel Ossher ,  Youssef Moussaoui ,  Dathan Bennett ,  Javier Campanini ,  Agatha Yu ,  Mark Elliot ,  Steve Matuszek

    IPC: G06F16/35

    Abstract: A system with methodology for dynamic modular ontology. In one embodiment, for example, a method comprises: receiving a command from an analyst to create a new ontology module; receiving, from the analyst, a selection of a first ontology module to import into the new ontology module; receiving, from the analyst, a selection of a second ontology module to import into the new ontology module; detecting an ambiguous data type definition conflict between a first definition of a data type in the first ontology module and a second definition of the data type in the second ontology module; generating a third definition of the data type reflecting a resolution of the ambiguous data type definition conflict; and storing, in a data container, the new ontology module comprising the third definition of the data type.

    INTERACTIVE VEHICLE INFORMATION MAP
    7.
    发明申请
    INTERACTIVE VEHICLE INFORMATION MAP 审中-公开

    公开(公告)号：US20190228007A1

    公开(公告)日：2019-07-25

    申请号：US16370514

    申请日：2019-03-29

    Applicant: Palantir Technologies Inc.

    Inventor： Mitchell Beard ,  Michael Glazer ,  Robin Lim ,  Sina Iman ,  Mark Basoa ,  Tristan Huber ,  Paul Ryan ,  Youssef Moussaoui ,  Bonnie McLindon ,  Nick White ,  Alexander Vasilyev ,  Mark Lundquist

    IPC: G06F16/248 ,  G06F3/0484

    Abstract: An interactive vehicle information map system is disclosed in which, in various embodiments, geographical, geospatial, vehicle, and other types of data, geodata, objects, features, and/or metadata are efficiently presented to a user on an interactive map interface. In an embodiment, the user may search vehicle-related data via the interactive map by providing search criteria including, for example, information regarding a geographic area, a time period, a vehicle, a vehicle owner, and/or a license plate number, among other items. The map system may provide search results including a list of vehicles that match the search criteria, vehicle information, and/or points on the interactive map that indicate license-plate recognition read locations, among other information. In an embodiment, the user may view detailed information associated with particular vehicles including, for example, captured images, vehicle-owner data, event history, and the like. Further, the user may export data and/or create search alerts.

    Interactive vehicle information map
    8.
    发明授权
    Interactive vehicle information map 有权

    公开(公告)号：US10262047B1

    公开(公告)日：2019-04-16

    申请号：US14672009

    申请日：2015-03-27

    Applicant: Palantir Technologies Inc.

    Inventor： Mitchell Beard ,  Michael Glazer ,  Robin Lim ,  Sina Iman ,  Mark Basoa ,  Tristan Huber ,  Paul Ryan ,  Youssef Moussaoui ,  Bonnie McLindon ,  Nick White ,  Alexander Vasilyev ,  Mark Lundquist

    IPC: G08G1/00 ,  G06F17/30 ,  G08G1/017 ,  G06F3/0481 ,  G06F3/0484

    Abstract: An interactive vehicle information map system is disclosed in which, in various embodiments, geographical, geospatial, vehicle, and other types of data, geodata, objects, features, and/or metadata are efficiently presented to a user on an interactive map interface. In an embodiment, the user may search vehicle-related data via the interactive map by providing search criteria including, for example, information regarding a geographic area, a time period, a vehicle, a vehicle owner, and/or a license plate number, among other items. The map system may provide search results including a list of vehicles that match the search criteria, vehicle information, and/or points on the interactive map that indicate license-plate recognition read locations, among other information. In an embodiment, the user may view detailed information associated with particular vehicles including, for example, captured images, vehicle-owner data, event history, and the like. Further, the user may export data and/or create search alerts.

    Malware data item analysis
    9.
    发明授权
    Malware data item analysis 有权
    恶意软件数据项分析

    公开(公告)号：US09021260B1

    公开(公告)日：2015-04-28

    申请号：US14473860

    申请日：2014-08-29

    Applicant: Palantir Technologies Inc.

    Inventor： Matthew Falk ,  Timothy Yousaf ,  Joseph Staehle ,  Lucas Lemanowicz ,  Sebastien Noury ,  Robin Lim ,  Michael Glazer

    IPC: G06F21/00 ,  G06F21/56 ,  G06F21/62

    CPC classification number: G06F21/56 ,  G06F21/6209 ,  G06F21/6218 ,  G06F2221/2101 ,  G06F2221/2107

    Abstract: Embodiments of the present disclosure relate to a data analysis system that may automatically analyze a suspected malware file, or group of files. Automatic analysis of the suspected malware file(s) may include one or more automatic analysis techniques. Automatic analysis of may include production and gathering of various items of information related to the suspected malware file(s) including, for example, calculated hashes, file properties, academic analysis information, file execution information, third-party analysis information, and/or the like. The analysis information may be automatically associated with the suspected malware file(s), and a user interface may be generated in which the various analysis information items are presented to a human analyst such that the analyst may quickly and efficiently evaluate the suspected malware file(s). For example, the analyst may quickly determine one or more characteristics of the suspected malware file(s), whether or not the file(s) is malware, and/or a threat level of the file(s).

    Abstract translation: 本公开的实施例涉及可以自动分析可疑的恶意软件文件或文件组的数据分析系统。 可疑恶意软件文件的自动分析可能包括一个或多个自动分析技术。 自动分析可能包括生成和收集与疑似恶意软件文件相关的各种信息项，包括例如计算散列，文件属性，学术分析信息，文件执行信息，第三方分析信息和/或 类似。 分析信息可以自动地与可疑的恶意软件文件相关联，并且可以生成用户界面，其中将各种分析信息项目呈现给人类分析人员，使得分析者可以快速有效地评估可疑的恶意软件文件（ s）。 例如，分析人员可能会快速确定可疑恶意软件文件的一个或多个特征，无论文件是恶意软件，还是文件的威胁级别。

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