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公开(公告)号：US09625564B2
公开(公告)日：2017-04-18
申请号：US14667527
申请日：2015-03-24
Applicant: Bastille Networks, Inc.
Inventor： Robert John Baxley , David Maynor , Christopher Jay Rouland , Michael Thomas Engle
IPC: H04W24/08 , G01S5/02 , G06K9/00 , G06T7/00 , G06T7/20 , H04N5/265 , G06T7/60 , G06K9/52 , G06F17/30 , H04L29/06 , H04W4/00 , H04W12/10 , H04B1/18 , H04W4/02 , H04W12/08 , H04B17/10 , H04B17/391 , H04W84/18
CPC classification number: G01S5/0263 , G01S5/02 , G01S5/0242 , G06F17/30598 , G06F17/30864 , G06K9/00718 , G06K9/00744 , G06K9/00771 , G06K9/52 , G06K2209/27 , G06T7/20 , G06T7/60 , G08B13/00 , H04B1/18 , H04B17/10 , H04B17/391 , H04K3/22 , H04K2203/18 , H04L63/1416 , H04L63/1425 , H04L63/302 , H04N5/265 , H04W4/021 , H04W4/70 , H04W12/08 , H04W12/10 , H04W12/12 , H04W24/08 , H04W84/18
Abstract: Systems and methods can support detecting and identifying threats associated with wireless devices within an electromagnetic environment. One or more sensor antennas may be located within the electromagnetic environment. Radio frequency signals may be coupled from the sensor antennas into a radio receiver. The radio receiver can communicate data samples representing a portion of the radio frequency signal to a raw signal analysis engine. The raw signal analysis engine can identify features associated with a communicated signal within the data samples. The raw signal analysis engine can classify modulation features and decode information features from the communicated signal. Feature vectors may be generated comprising the data samples and the identified features associated with the data samples. The feature vectors can be transmitted to a signal aggregation and analysis engine to support detecting and identifying electromagnetic threats and to support associated operator interfaces.
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2.发明申请公开(公告)号：US20160127392A1
公开(公告)日：2016-05-05
申请号：US14692838
申请日：2015-04-22
Applicant: Bastille Networks, Inc.
Inventor： Robert John Baxley , David Maynor , Christopher Jay Rouland , Michael Thomas Engle
CPC classification number: G01S5/0263 , G01S5/02 , G01S5/0242 , G06F17/30598 , G06F17/30864 , G06K9/00718 , G06K9/00744 , G06K9/00771 , G06K9/52 , G06K2209/27 , G06T7/20 , G06T7/60 , G08B13/00 , H04B1/18 , H04B17/10 , H04B17/391 , H04K3/22 , H04K2203/18 , H04L63/1416 , H04L63/1425 , H04L63/302 , H04N5/265 , H04W4/021 , H04W4/70 , H04W12/08 , H04W12/10 , H04W12/12 , H04W24/08 , H04W84/18
Abstract: Systems and methods can support detecting and identifying threats associated with wireless devices. A radio receiver can collect radio frequency signals from one or more sensor antennas positioned within an electromagnetic environment. The receiver can generate data samples representing at least a portion of the radio frequency signals. Feature vectors can be generated comprising at least a portion of the data samples and attribute information. The attribute information can describe one or more features of a communicated signal within the radio frequency signals. Content of the feature vectors may be compared against signatures of known signals to identify radio frequency signals associated with a wireless attack. Content of the feature vectors may be compared against templates of known attacks to classify the identified wireless attacks. Threat information associated with the wireless attacks may be presented to one or more operator interfaces.
Abstract translation: 系统和方法可以支持检测和识别与无线设备相关的威胁。 无线电接收机可以从位于电磁环境内的一个或多个传感器天线收集射频信号。 接收机可以生成表示至少一部分射频信号的数据样本。 可以生成包括数据样本的至少一部分和属性信息的特征向量。 属性信息可以描述射频信号内所传送信号的一个或多个特征。 可以将特征向量的内容与已知信号的签名进行比较，以识别与无线攻击相关联的射频信号。 可以将特征向量的内容与已知攻击的模板进行比较，以对所识别的无线攻击进行分类。 与无线攻击相关联的威胁信息可以呈现给一个或多个操作员接口。
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3.发明授权公开(公告)号：US09560060B2
公开(公告)日：2017-01-31
申请号：US14728954
申请日：2015-06-02
Applicant: Bastille Networks, Inc.
Inventor： Robert John Baxley , David Maynor , Logan Michael Lamb
CPC classification number: H04L63/1416 , G06K7/0095 , H04B1/0028 , H04B1/0064 , H04B7/01 , H04L63/02 , H04L63/1483 , H04W12/08 , H04W12/12 , H04W72/0406 , H04W72/0453 , H04W88/06
Abstract: Systems and methods can support identifying multiple radio transmitters as being integrated within a single communications device. Radio frequency signals may be collected using one or more sensors incorporating radio receivers. A first radio frequency signature and a second radio frequency signature may be identified within one or more of the radio frequency signals as originating respectively from a first radio transmitter and a second radio transmitter. Characteristics of the first and second radio frequency signatures may be analyzed to evaluate a relationship between the first and second radio frequency signatures. It may be determined whether or not the first and second radio transmitters are integrated within a common wireless electronic device based upon the evaluated relationship between the first radio frequency signature and the second radio frequency signature. Characteristics and behaviors associated with the wireless electronic device may be determined therefrom.
Abstract translation: 系统和方法可以支持将多个无线电发射机识别为集成在单个通信设备中。 可以使用包含无线电接收机的一个或多个传感器来收集射频信号。 第一射频签名和第二射频签名可以在一个或多个射频信号中被识别为分别来自第一无线电发射机和第二无线电发射机。 可以分析第一和第二射频签名的特性以评估第一和第二射频签名之间的关系。 可以基于第一无线电频率签名和第二无线电频率签名之间的评估关系来确定第一和第二无线电发射机是否被集成在公共无线电子设备内。 可以从其确定与无线电子设备相关联的特性和行为。
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Patent Agency Ranking
4.发明申请CROSS-MODALITY ELECTROMAGNETIC SIGNATURE ANALYSIS FOR RADIO FREQUENCY PERSONA IDENTIFICATION 有权用于无线电频率识别的交叉模态电磁特征分析公开(公告)号：US20150349810A1
公开(公告)日：2015-12-03
申请号：US14728954
申请日：2015-06-02
Applicant: BASTILLE NETWORKS, INC.
Inventor： Robert John Baxley , David Maynor , Logan Michael Lamb
CPC classification number: H04L63/1416 , G06K7/0095 , H04B1/0028 , H04B1/0064 , H04B7/01 , H04L63/02 , H04L63/1483 , H04W12/08 , H04W12/12 , H04W72/0406 , H04W72/0453 , H04W88/06
Abstract: Systems and methods can support identifying multiple radio transmitters as being integrated within a single communications device. Radio frequency signals may be collected using one or more sensors incorporating radio receivers. A first radio frequency signature and a second radio frequency signature may be identified within one or more of the radio frequency signals as originating respectively from a first radio transmitter and a second radio transmitter. Characteristics of the first and second radio frequency signatures may be analyzed to evaluate a relationship between the first and second radio frequency signatures. It may be determined whether or not the first and second radio transmitters are integrated within a common wireless electronic device based upon the evaluated relationship between the first radio frequency signature and the second radio frequency signature. Characteristics and behaviors associated with the wireless electronic device may be determined therefrom.
Abstract translation: 系统和方法可以支持将多个无线电发射机识别为集成在单个通信设备中。 可以使用包含无线电接收机的一个或多个传感器来收集射频信号。 第一射频签名和第二射频签名可以在一个或多个射频信号中被识别为分别来自第一无线电发射机和第二无线电发射机。 可以分析第一和第二射频签名的特性以评估第一和第二射频签名之间的关系。 可以基于第一无线电频率签名和第二无线电频率签名之间的评估关系来确定第一和第二无线电发射机是否被集成在公共无线电子设备内。 可以从其确定与无线电子设备相关联的特性和行为。
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5.发明申请BLIND SIGNAL CLASSIFICATION AND DEMODULATION IN A MULTIMODAL RADIO FREQUENCY ENVIRONMENT 有权多模式无线电频率环境中的盲信号分类和解调公开(公告)号：US20160127907A1
公开(公告)日：2016-05-05
申请号：US14667527
申请日：2015-03-24
Applicant: Bastille Networks, Inc.
Inventor： Robert John Baxley , David Maynor , Christopher Jay Rouland , Michael Thomas Engle
CPC classification number: G01S5/0263 , G01S5/02 , G01S5/0242 , G06F17/30598 , G06F17/30864 , G06K9/00718 , G06K9/00744 , G06K9/00771 , G06K9/52 , G06K2209/27 , G06T7/20 , G06T7/60 , G08B13/00 , H04B1/18 , H04B17/10 , H04B17/391 , H04K3/22 , H04K2203/18 , H04L63/1416 , H04L63/1425 , H04L63/302 , H04N5/265 , H04W4/021 , H04W4/70 , H04W12/08 , H04W12/10 , H04W12/12 , H04W24/08 , H04W84/18
Abstract: Systems and methods can support detecting and identifying threats associated with wireless devices within an electromagnetic environment. One or more sensor antennas may be located within the electromagnetic environment. Radio frequency signals may be coupled from the sensor antennas into a radio receiver. The radio receiver can communicate data samples representing a portion of the radio frequency signal to a raw signal analysis engine. The raw signal analysis engine can identify features associated with a communicated signal within the data samples. The raw signal analysis engine can classify modulation features and decode information features from the communicated signal. Feature vectors may be generated comprising the data samples and the identified features associated with the data samples. The feature vectors can be transmitted to a signal aggregation and analysis engine to support detecting and identifying electromagnetic threats and to support associated operator interfaces.
Abstract translation: 系统和方法可以支持检测和识别与电磁环境内的无线设备相关的威胁。 一个或多个传感器天线可以位于电磁环境内。 射频信号可以从传感器天线耦合到无线电接收机。 无线电接收机可以将表示射频信号的一部分的数据样本传送到原始信号分析引擎。 原始信号分析引擎可以识别与数据样本内的通信信号相关的特征。 原始信号分析引擎可以对调制特征进行分类，并从通信信号中解码信息特征。 可以生成包括与数据样本相关联的数据样本和识别的特征的特征向量。 特征向量可以传输到信号聚合和分析引擎，以支持检测和识别电磁威胁并支持相关的操作员界面。
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公开(公告)号：US10338191B2
公开(公告)日：2019-07-02
申请号：US14617798
申请日：2015-02-09
Applicant: Bastille Networks, Inc.
Inventor： Robert John Baxley , David Maynor , Christopher Jay Rouland , Michael Thomas Engle
IPC: H04L29/06 , G01S5/02 , G06K9/00 , G06T7/20 , H04N5/265 , G06T7/60 , G06K9/52 , G06F16/28 , G06F16/951 , H04W12/10 , H04B1/18 , H04W4/021 , H04W12/08 , H04B17/10 , H04B17/391 , H04W24/08 , H04W12/12 , H04K3/00 , H04W4/70 , H04W84/18 , G08B13/00
Abstract: Systems and methods can support a sensor mesh and signal transmission architecture for electromagnetic signature analysis and threat detection. Sensor antennas may be deployed within an electromagnetic environment. A configurable antenna feed network can couple radio frequency signals from the antennas to both software-defined radio receivers and hardware-defined radio receivers. A raw signal analysis engine associated with the software-defined radio receiver can receive digital samples of the radio frequency signals, identify signal features within the digital samples, and generate signal feature vectors from the identified signal features. A signal feature network can receive the signal feature. A signal aggregation and analysis engine can receive the signal feature vectors from the signal feature network, aggregate the signal feature vectors, process the signal feature vectors, and identify wireless attacks according to the signal features within the signal feature vectors. One or more updatable analysis databases can support the signal processing operations.
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公开(公告)号：US09739868B2
公开(公告)日：2017-08-22
申请号：US14692838
申请日：2015-04-22
Applicant: Bastille Networks, Inc.
Inventor： Robert John Baxley , David Maynor , Christopher Jay Rouland , Michael Thomas Engle
IPC: H04L29/06 , G01S5/02 , G06K9/00 , G06T7/20 , H04N5/265 , G06T7/60 , G06K9/52 , G06F17/30 , H04W4/00 , H04W12/10 , H04B1/18 , H04W4/02 , H04W12/08 , H04B17/10 , H04B17/391 , H04W24/08 , H04W12/12 , H04W84/18 , G08B13/00
CPC classification number: G01S5/0263 , G01S5/02 , G01S5/0242 , G06F17/30598 , G06F17/30864 , G06K9/00718 , G06K9/00744 , G06K9/00771 , G06K9/52 , G06K2209/27 , G06T7/20 , G06T7/60 , G08B13/00 , H04B1/18 , H04B17/10 , H04B17/391 , H04K3/22 , H04K2203/18 , H04L63/1416 , H04L63/1425 , H04L63/302 , H04N5/265 , H04W4/021 , H04W4/70 , H04W12/08 , H04W12/10 , H04W12/12 , H04W24/08 , H04W84/18
Abstract: Systems and methods can support detecting and identifying threats associated with wireless devices. A radio receiver can collect radio frequency signals from one or more sensor antennas positioned within an electromagnetic environment. The receiver can generate data samples representing at least a portion of the radio frequency signals. Feature vectors can be generated comprising at least a portion of the data samples and attribute information. The attribute information can describe one or more features of a communicated signal within the radio frequency signals. Content of the feature vectors may be compared against signatures of known signals to identify radio frequency signals associated with a wireless attack. Content of the feature vectors may be compared against templates of known attacks to classify the identified wireless attacks. Threat information associated with the wireless attacks may be presented to one or more operator interfaces.
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8.发明申请SENSOR MESH AND SIGNAL TRANSMISSION ARCHITECTURES FOR ELECTROMAGNETIC SIGNATURE ANALYSIS 审中-公开电磁信号分析的传感器网络和信号传输架构公开(公告)号：US20160127403A1
公开(公告)日：2016-05-05
申请号：US14617798
申请日：2015-02-09
Applicant: BASTILLE NETWORKS, INC.
Inventor： Robert John Baxley , David Maynor , Christopher Jay Rouland , Michael Thomas Engle
CPC classification number: G01S5/0263 , G01S5/02 , G01S5/0242 , G06F16/285 , G06F16/951 , G06K9/00718 , G06K9/00744 , G06K9/00771 , G06K9/52 , G06K2209/27 , G06T7/20 , G06T7/60 , G08B13/00 , H04B1/18 , H04B17/10 , H04B17/391 , H04K3/22 , H04K2203/16 , H04K2203/18 , H04L63/1416 , H04L63/1425 , H04L63/302 , H04N5/265 , H04W4/021 , H04W4/70 , H04W12/00503 , H04W12/08 , H04W12/10 , H04W12/12 , H04W24/08 , H04W84/18
Abstract: Systems and methods can support a sensor mesh and signal transmission architecture for electromagnetic signature analysis and threat detection. Sensor antennas may be deployed within an electromagnetic environment. A configurable antenna feed network can couple radio frequency signals from the antennas to both software-defined radio receivers and hardware-defined radio receivers. A raw signal analysis engine associated with the software-defined radio receiver can receive digital samples of the radio frequency signals, identify signal features within the digital samples, and generate signal feature vectors from the identified signal features. A signal feature network can receive the signal feature. A signal aggregation and analysis engine can receive the signal feature vectors from the signal feature network, aggregate the signal feature vectors, process the signal feature vectors, and identify wireless attacks according to the signal features within the signal feature vectors. One or more updatable analysis databases can support the signal processing operations.
Abstract translation: 系统和方法可以支持传感器网格和信号传输架构，用于电磁签名分析和威胁检测。 传感器天线可以部署在电磁环境中。 可配置的天线馈电网络可以将来自天线的射频信号耦合到软件定义的无线电接收机和硬件定义的无线电接收机。 与软件定义的无线电接收机相关联的原始信号分析引擎可以接收射频信号的数字样本，识别数字样本内的信号特征，并从识别的信号特征生成信号特征向量。 信号特征网络可以接收信号特征。 信号聚合和分析引擎可以从信号特征网络接收信号特征向量，聚合信号特征向量，处理信号特征向量，并根据信号特征向量内的信号特征来识别无线攻击。 一个或多个可更新的分析数据库可以支持信号处理操作。
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