INFERRING CONGESTION AND SIGNAL QUALITY
    3.
    发明申请

    公开(公告)号:US20190068512A1

    公开(公告)日:2019-02-28

    申请号:US15938753

    申请日:2018-03-28

    Abstract: Described embodiments provide systems and methods for inferring a network type and network conditions. The system includes a packet capturing engine configured to capture a plurality of network packets from a plurality of TCP network connections. The system includes a packet analyzer configured to analyze the plurality of network packets to generate a plurality of metrics. The system includes a network classifier configured to infer network types of the plurality of TCP connections based on the plurality of metrics and at least one classification model. The system also includes a conditions ranking engine configured to estimate a level of network congestion for each TCP connection based on the plurality of metrics and the network types.

    INFERRING CONGESTION AND SIGNAL QUALITY

    公开(公告)号:US20210306223A1

    公开(公告)日:2021-09-30

    申请号:US17210065

    申请日:2021-03-23

    Abstract: Described embodiments provide systems and methods for inferring a network type and network conditions. The system includes a packet capturing engine configured to capture a plurality of network packets from a plurality of TCP network connections. The system includes a packet analyzer configured to analyze the plurality of network packets to generate a plurality of metrics. The system includes a network classifier configured to infer network types of the plurality of TCP connections based on the plurality of metrics and at least one classification model. The system also includes a conditions ranking engine configured to estimate a level of network congestion for each TCP connection based on the plurality of metrics and the network types.

    Inferring congestion and signal quality

    公开(公告)号:US10972358B2

    公开(公告)日:2021-04-06

    申请号:US15938753

    申请日:2018-03-28

    Abstract: Described embodiments provide systems and methods for inferring a network type and network conditions. The system includes a packet capturing engine configured to capture a plurality of network packets from a plurality of TCP network connections. The system includes a packet analyzer configured to analyze the plurality of network packets to generate a plurality of metrics. The system includes a network classifier configured to infer network types of the plurality of TCP connections based on the plurality of metrics and at least one classification model. The system also includes a conditions ranking engine configured to estimate a level of network congestion for each TCP connection based on the plurality of metrics and the network types.

    SYSTEM AND METHOD FOR COMBINING CYBER-SECURITY THREAT DETECTIONS

    公开(公告)号:US20240005001A1

    公开(公告)日:2024-01-04

    申请号:US17868378

    申请日:2022-07-19

    CPC classification number: G06F21/566 G06N7/005

    Abstract: A computer system is provided. The computer system includes a memory and at least one processor coupled to the memory and configured to detect triggering of one or more threat detectors. The at least one processor is further configured to activate a subset of nodes from a plurality of nodes in a Bayesian network in response to the detection, the activated subset of nodes associated with the triggered threat detectors. The at least one processor is further configured to calculate a probability of malicious action using the Bayesian network to combine probabilities associated with the activated subset of nodes. The at least one processor is further configured to determine that the probability exceeds a threshold value. The at least one processor is further configured to perform a security action in response to the determination.

    INFERRING RADIO TYPE FROM CLUSTERING ALGORITHMS

    公开(公告)号:US20200351169A1

    公开(公告)日:2020-11-05

    申请号:US16933640

    申请日:2020-07-20

    Abstract: Described embodiments provide systems and methods for inferring a network type and network conditions. The system includes a packet capturing engine configured to capture a plurality of network packets from a plurality of TCP network connections. The system includes a packet analyzer configured to analyze the plurality of network packets to generate a plurality of metrics. The system includes a network classifier configured to infer network types of the plurality of TCP connections based on the plurality of metrics and at least one classification model. The system also includes a conditions ranking engine configured to estimate a level of network congestion for each TCP connection based on the plurality of metrics and the network types.

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