Data visualization in self-learning networks

    公开(公告)号:US10484406B2

    公开(公告)日:2019-11-19

    申请号:US14990064

    申请日:2016-01-07

    Abstract: In one embodiment, a first device in a network maintains raw traffic flow information for the network. The first device provides a compressed summary of the raw traffic flow information to a second device in the network. The second device is configured to transform the compressed summary for presentation to a user interface. The first device detects an anomalous traffic flow based on an analysis of the raw traffic flow information using a machine learning-based anomaly detector. The first device provides at least a portion of the raw traffic flow information related to the anomalous traffic flow to the second device for presentation to the user interface.

    DATA VISUALIZATION IN SELF LEARNING NETWORKS
    2.
    发明申请
    DATA VISUALIZATION IN SELF LEARNING NETWORKS 审中-公开
    数据可视化在自学习网络

    公开(公告)号:US20160219071A1

    公开(公告)日:2016-07-28

    申请号:US14990064

    申请日:2016-01-07

    CPC classification number: H04L63/1425 G06N20/00 H04L63/1416

    Abstract: In one embodiment, a first device in a network maintains raw traffic flow information for the network. The first device provides a compressed summary of the raw traffic flow information to a second device in the network. The second device is configured to transform the compressed summary for presentation to a user interface. The first device detects an anomalous traffic flow based on an analysis of the raw traffic flow information using a machine learning-based anomaly detector. The first device provides at least a portion of the raw traffic flow information related to the anomalous traffic flow to the second device for presentation to the user interface.

    Abstract translation: 在一个实施例中,网络中的第一设备维护网络的原始业务流信息。 第一个设备将原始流量信息的压缩摘要提供给网络中的第二个设备。 第二设备被配置为将用于呈现的压缩摘要转换为用户界面。 第一设备使用基于机器学习的异常检测器基于对原始业务流信息的分析来检测异常业务流。 第一设备将与异常业务流相关的原始业务流信息的至少一部分提供给第二设备以呈现给用户接口。

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