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.

公开(公告)号：US12069069B2

公开(公告)日：2024-08-20

申请号：US17347353

申请日：2021-06-14

Applicant: Mellanox Technologies Ltd.

Inventor： Yair Chasdai ,  David Daniel Pilnik ,  Liran Daniel ,  Gary Mataev

IPC: H04L9/40 ,  G06N5/04 ,  G06N20/00

CPC classification number: H04L63/1416 ,  G06N5/04 ,  G06N20/00

Abstract: Devices and methods to identify malicious usage of a network device. In at least one embodiment, a network device comprises circuitry for performing a networking function and collecting telemetry data indicative of the performance of the networking function. The network device obtains an inference of a network traffic pattern using a machine learning model, and responds to the inference.

公开(公告)号：US20240340295A1

公开(公告)日：2024-10-10

申请号：US18747252

申请日：2024-06-18

Applicant: Mellanox Technologies, Ltd.

Inventor： Yair Chasdai ,  David Daniel Pilnik ,  Liran Daniel ,  Gary Mataev

IPC: H04L9/40 ,  G06N5/04 ,  G06N20/00

CPC classification number: H04L63/1416 ,  G06N5/04 ,  G06N20/00

Abstract: Devices and methods to identify malicious usage of a network device. In at least one embodiment, a network device comprises circuitry for performing a networking function and collecting telemetry data indicative of the performance of the networking function. The network device obtains an inference of a network traffic pattern using a machine learning model, and responds to the inference.

公开(公告)号：US20220400124A1

公开(公告)日：2022-12-15

申请号：US17347353

申请日：2021-06-14

Applicant: Mellanox Technologies Ltd.

Inventor： Yair Chasdai ,  David Daniel Pilnik ,  Liran Daniel ,  Gary Mataev

IPC: H04L29/06 ,  G06N20/00 ,  G06N5/04

Abstract: Devices and methods to identify malicious usage of a network device. In at least one embodiment, a network device comprises circuitry for performing a networking function and collecting telemetry data indicative of the performance of the networking function. The network device obtains an inference of a network traffic pattern using a machine learning model, and responds to the inference.