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    FAULT DETECTION IN CYBER-PHYSICAL SYSTEMS
    3.
    发明申请
    FAULT DETECTION IN CYBER-PHYSICAL SYSTEMS 有权

    公开(公告)号：US20210350232A1

    公开(公告)日：2021-11-11

    申请号：US17241430

    申请日：2021-04-27

    Applicant: NEC Laboratories America, Inc.

    Inventor： LuAn Tang ,  Haifeng Chen ,  Wei Cheng ,  Junghwan Rhee ,  Jumpei Kamimura

    IPC: G06N3/08 ,  G06N3/04 ,  G07C5/08

    Abstract: Methods and systems for training a neural network model include processing a set of normal state training data and a set of fault state training data to generate respective normal state inputs and fault state inputs that each include data features and sensor correlation graph information. A neural network model is trained, using the normal state inputs and the fault state inputs, to generate a fault score that provides a similarity of an input to the fault state training data and an anomaly score that provides a dissimilarity of the input to the normal state training data.

    GRAPH MODEL FOR ALERT INTERPRETATION IN ENTERPRISE SECURITY SYSTEM
    7.
    发明申请
    GRAPH MODEL FOR ALERT INTERPRETATION IN ENTERPRISE SECURITY SYSTEM 审中-公开

    公开(公告)号：US20190121971A1

    公开(公告)日：2019-04-25

    申请号：US16161769

    申请日：2018-10-16

    Applicant: NEC Laboratories America, Inc.

    Inventor： LuAn Tang ,  Zhengzhang Chen ,  Zhichun Li ,  Zhenyu Wu ,  Jumpei Kamimura ,  Haifeng Chen

    IPC: G06F21/55 ,  H04L12/24 ,  H04L29/06

    Abstract: A computer-implemented method for implementing alert interpretation in enterprise security systems is presented. The computer-implemented method includes employing a plurality of sensors to monitor streaming data from a plurality of computing devices, generating alerts based on the monitored streaming data, and employing an alert interpretation module to interpret the alerts in real-time, the alert interpretation module including a process-star graph constructor for retrieving relationships from the streaming data to construct process-star graph models and an alert cause detector for analyzing the alerts based on the process-star graph models to determine an entity that causes an alert.

    Graph model for alert interpretation in enterprise security system
    10.
    发明授权
    Graph model for alert interpretation in enterprise security system 有权

    公开(公告)号：US10885185B2

    公开(公告)日：2021-01-05

    申请号：US16161564

    申请日：2018-10-16

    Applicant: NEC Laboratories America, Inc.

    Inventor： LuAn Tang ,  Zhengzhang Chen ,  Zhichun Li ,  Zhenyu Wu ,  Jumpei Kamimura ,  Haifeng Chen

    IPC: H04L29/06 ,  G06F21/55 ,  H04L12/24 ,  G06F21/57

    Abstract: A computer-implemented method for implementing alert interpretation in enterprise security systems is presented. The computer-implemented method includes employing a plurality of sensors to monitor streaming data from a plurality of computing devices, generating alerts based on the monitored streaming data, automatically analyzing the alerts, in real-time, by using a graph-based alert interpretation engine employing process-star graph models, retrieving a cause of the alerts, an aftermath of the alerts, and baselines for the alert interpretation, and integrating the cause of the alerts, the aftermath of the alerts, and the baselines to output an alert interpretation graph to a user interface of a user device.

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