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    TELEMETRY DATA ABSTRACTION
    1.
    发明申请
    TELEMETRY DATA ABSTRACTION 有权

    公开(公告)号：US20250097130A1

    公开(公告)日：2025-03-20

    申请号：US18967566

    申请日：2024-12-03

    Applicant: MELLANOX TECHNOLOGIES, LTD.

    Inventor： Ran Sandhaus ,  Vladimir Shalikashvili ,  Ortal Bashan

    IPC: H04L43/08 ,  G06F11/34

    Abstract: Methods, systems, and computer program products to generate a telemetry pipeline. In embodiments, the system includes a communication interface that receives one or more user-defined functions for the telemetry pipeline. The system also includes control logic that implements programmatically the one or more user-defined functions to collect telemetry data at a plurality of layers in the telemetry pipeline based on the one or more user-defined functions and calculate smart metrics at different layers of the plurality of layers in the telemetry pipeline. The smart metrics may be calculated at a layer closest to where associated telemetry data is collected.

    DISTRIBUTED DENIAL OF SERVICE (DDOS) BASED ARTIFICIAL INTELLIGENCE (AI) ACCELERATED SOLUTION USING A SWITCH
    3.
    发明申请
    DISTRIBUTED DENIAL OF SERVICE (DDOS) BASED ARTIFICIAL INTELLIGENCE (AI) ACCELERATED SOLUTION USING A SWITCH 有权

    公开(公告)号：US20250097261A1

    公开(公告)日：2025-03-20

    申请号：US18369714

    申请日：2023-09-18

    Applicant: Mellanox Technologies, Ltd.

    Inventor： Chen Rozenbaum ,  Gary Mataev ,  Ran Sandhaus ,  Hanan Shteingart

    IPC: H04L9/40 ,  H04L41/16

    Abstract: Apparatuses, systems, and techniques for detecting that a host device is subject to a distributed denial of service (DDOS) attack using a machine learning (ML) detection system are described. A computing system includes a switch with port interfaces, a central processing unit (CPU) that implements a machine learning (ML) detection system, and network monitoring logic. The network monitoring logic can extract features from network data and send the extracted features to the ML detection system. The ML detection system determines whether the host device is subject to a DDOS attack using the extracted features. The ML detection system can send an alert to the host device responsive to a determination that the host device is subject to the DDOS attack.

    Telemetry data abstraction
    7.
    发明授权
    Telemetry data abstraction 有权

    公开(公告)号：US12192082B1

    公开(公告)日：2025-01-07

    申请号：US18232299

    申请日：2023-08-09

    Applicant: MELLANOX TECHNOLOGIES, LTD.

    Inventor： Ran Sandhaus ,  Vladimir Shalikashvili ,  Ortal Bashan

    IPC: H04L43/08 ,  G06F11/34

    Abstract: Methods, systems, and computer program products to generate a telemetry pipeline. In embodiments, the system includes a communication interface that receives one or more user-defined functions for the telemetry pipeline. The system also includes control logic that implements programmatically the one or more user-defined functions to collect telemetry data at a plurality of layers in the telemetry pipeline based on the one or more user-defined functions and calculate smart metrics at different layers of the plurality of layers in the telemetry pipeline. The smart metrics may be calculated at a layer closest to where associated telemetry data is collected.

    Network device with real-time data-path optimization
    10.
    发明授权
    Network device with real-time data-path optimization 有权

    公开(公告)号：US11627074B1

    公开(公告)日：2023-04-11

    申请号：US17582040

    申请日：2022-01-24

    Applicant: MELLANOX TECHNOLOGIES, LTD.

    Inventor： Yair Chasdai ,  David Daniel Pilnik ,  Maty Golovaty ,  Liran Daniel ,  Ran Sandhaus

    IPC: H04L45/00 ,  H04L45/121 ,  H04L45/42

    Abstract: A network device includes at least one port, a memory, data-path circuitry, and a processor. The at least one port is to exchange packets with a network. The data-path circuitry is to process the packets. The memory is to store signatures of traffic patterns according to a locality-sensitive signature function., and corresponding parameter settings for the data-path circuitry. The processor is to assess a current traffic pattern of the packets, to calculate a current signature over the current traffic pattern using the locality-sensitive signature function, to query the memory using the current signature, to configure the data-path circuitry, in response to finding a stored signature that is within a specified distance from the current signature, with a parameter setting that corresponds to the found signature, and take an alternative action in response to finding that no stored signature is within the specified distance from the current signature.

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