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    Anomaly detection with graph adversarial training in computer systems
    71.
    发明授权
    Anomaly detection with graph adversarial training in computer systems 有权

    公开(公告)号：US11606389B2

    公开(公告)日：2023-03-14

    申请号：US17004752

    申请日：2020-08-27

    Applicant: NEC Laboratories America, Inc.

    Inventor： Zhengzhang Chen ,  Jiaping Gui ,  Haifeng Chen ,  Junghwan Rhee ,  Shen Wang

    IPC: H04L29/06 ,  H04L9/40 ,  G06N3/08

    Abstract: Methods and systems for detecting and responding to an intrusion in a computer network include generating an adversarial training data set that includes original samples and adversarial samples, by perturbing one or more of the original samples with an integrated gradient attack to generate the adversarial samples. The original and adversarial samples are encoded to generate respective original and adversarial graph representations, based on node neighborhood aggregation. A graph-based neural network is trained to detect anomalous activity in a computer network, using the adversarial training data set. A security action is performed responsive to the detected anomalous activity.

    SEMI-SUPERVISED DEEP MODEL FOR TURBULENCE FORECASTING
    73.
    发明申请
    SEMI-SUPERVISED DEEP MODEL FOR TURBULENCE FORECASTING 有权

    公开(公告)号：US20210255363A1

    公开(公告)日：2021-08-19

    申请号：US17165515

    申请日：2021-02-02

    Applicant: NEC Laboratories America, Inc.

    Inventor： Yanchi Liu ,  Jingchao Ni ,  Bo Zong ,  Haifeng Chen ,  Zhengzhang Chen ,  Wei Cheng ,  Denghui Zhang

    IPC: G01W1/00 ,  G06N3/04 ,  G06N3/08

    Abstract: A method for employing a unified semi-supervised deep learning (DL) framework for turbulence forecasting is presented. The method includes extracting historical and forecasted weather features of a spatial region, calculating turbulence indexes to fill feature cubes, each feature cube representing a grid-based 3D region, and building an encoder-decoder framework based on convolutional long short-term memory (ConvLSTM) to model spatio-temporal correlations or patterns causing turbulence. The method further includes employing a dual label guessing component to dynamically integrate complementary signals from a turbulence forecasting network and a turbulence detection network to generate pseudo-labels, reweighing the generated pseudo-labels by a heuristic label quality detector based on KL-Divergence, applying a hybrid loss function to predict turbulence conditions, and generating a turbulence dataset including the predicted turbulence conditions.

    Inter-application dependency analysis for improving computer system threat detection
    74.
    发明授权
    Inter-application dependency analysis for improving computer system threat detection 有权

    公开(公告)号：US11030308B2

    公开(公告)日：2021-06-08

    申请号：US16006164

    申请日：2018-06-12

    Applicant: NEC Laboratories America, Inc.

    Inventor： Ding Li ,  Kangkook Jee ,  Zhengzhang Chen ,  LuAn Tang ,  Zhichun Li

    IPC: G06F21/55 ,  G06F9/48 ,  G06F16/2455 ,  G06F16/248

    Abstract: A method and system are provided for improving threat detection in a computer system by performing an inter-application dependency analysis on events of the computer system. The method includes receiving, by a processor operatively coupled to a memory, a Tracking Description Language (TDL) query including general constraints, a tracking declaration and an output specification, parsing, by the processor, the TDL query using a language parser, executing, by the processor, a tracking analysis based on the parsed TDL query, generating, by the processor, a tracking graph by cleaning a result of the tracking analysis, and outputting, by the processor and via an interface, query results based on the tracking graph.

    INTER-APPLICATION DEPENDENCY ANALYSIS FOR IMPROVING COMPUTER SYSTEM THREAT DETECTION
    77.
    发明申请
    INTER-APPLICATION DEPENDENCY ANALYSIS FOR IMPROVING COMPUTER SYSTEM THREAT DETECTION 审中-公开

    公开(公告)号：US20190050561A1

    公开(公告)日：2019-02-14

    申请号：US16006164

    申请日：2018-06-12

    Applicant: NEC Laboratories America, Inc.

    Inventor： Ding Li ,  Kangkook Jee ,  Zhengzhang Chen ,  LuAn Tang ,  Zhichun Li

    IPC: G06F21/55 ,  G06F17/30 ,  G06F9/48

    Abstract: A method and system are provided for improving threat detection in a computer system by performing an inter-application dependency analysis on events of the computer system. The method includes receiving, by a processor operatively coupled to a memory, a Tracking Description Language (TDL) query including general constraints, a tracking declaration and an output specification, parsing, by the processor, the TDL query using a language parser, executing, by the processor, a tracking analysis based on the parsed TDL query, generating, by the processor, a tracking graph by cleaning a result of the tracking analysis, and outputting, by the processor and via an interface, query results based on the tracking graph.

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