Method, apparatus and system for diagnosing network performance

    公开(公告)号:US11902135B2

    公开(公告)日:2024-02-13

    申请号:US17728955

    申请日:2022-04-25

    Applicant: MAGDATA INC.

    CPC classification number: H04L43/0876 H04L43/045 H04L47/283

    Abstract: An aspect of the present disclosure discloses a method for diagnosing a network performance in an apparatus for diagnosing network performance connected to a switching device provided between a first entity and a second entity. The method may include: obtaining at least one mirrored packet for at least one packet transmitted between the first entity and the second entity based on mirroring from the switching device, calculating performance related indicator representing performance of a network service associated with the first entity and the second entity based on at least a part of information included in the at least one mirrored packet, and storing the calculated performance related indicators.

    Detecting behavioral change of IoT devices using novelty detection based behavior traffic modeling

    公开(公告)号:US11888718B2

    公开(公告)日:2024-01-30

    申请号:US17649223

    申请日:2022-01-28

    CPC classification number: H04L43/0876

    Abstract: An anomalous behavior detector has been designed to detect novel behavioral changes of devices based on network traffic data that likely correlate to anomalous behaviors. The anomalous behavior detector uses the local outlier factor (LOF) algorithm with novelty detection. After initial semi-supervised training with a single class training dataset representing stable device behaviors, the obtained model continues learning frontiers that delimit subspaces of inlier observations with live network traffic data. Instead of traffic variables being used as features, the features that form feature vectors are similarities of network traffic variable values across time intervals. A feature vector for the anomalous behavior detector represents stability or similarity of network traffic variables that have been chosen as device identifiers and behavioral indicators.

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