公开(公告)号：US20240098104A1

公开(公告)日：2024-03-21

申请号：US17956208

申请日：2022-09-29

Applicant: Mellanox Technologies, Ltd.

Inventor： Ioannis (Giannis) PATRONAS ,  Tamar Viclizki COHEN ,  Vadim GECHMAN ,  Dimitrios SYRIVELIS ,  Paraskevas BAKOPOULOS ,  Nikolaos ARGYRIS ,  Elad MENTOVICH

IPC: H04L9/40 ,  H04L41/16 ,  H04L47/17

CPC classification number: H04L63/1425 ,  H04L41/16 ,  H04L47/17

Abstract: Systems, computer program products, and methods are described herein for machine learning (ML) based network resilience and steering. An example system monitors data traffic across one or more network ports and determines a first data traffic pattern from the data traffic. The system further determines, via a ML subsystem, that the first data traffic pattern is indicative of a security threat to a first network port. In response to determining that the first data traffic pattern is indicative of the security threat to the first network port, the system further isolates the first network port from the one or more network ports.

公开(公告)号：US20240291738A1

公开(公告)日：2024-08-29

申请号：US18652131

申请日：2024-05-01

Applicant: MELLANOX TECHNOLOGIES, LTD.

Inventor： Ioannis (Giannis) PATRONAS ,  Tamar Viclizki COHEN ,  Vadim GECHMAN ,  Dimitrios SYRIVELIS ,  Paraskevas BAKOPOULOS ,  Nikolaos ARGYRIS ,  Elad MENTOVICH

IPC: H04L43/065 ,  H04L41/16 ,  H04L43/0817 ,  H04L45/28

CPC classification number: H04L43/065 ,  H04L41/16 ,  H04L43/0817 ,  H04L45/28

Abstract: Systems, computer program products, and methods are described herein for machine learning (ML) based system for network resilience and steering. An example system monitors data movement across one or more network ports; extracts network performance indicators associated with the data movement; determines, via a machine learning (ML) subsystem, that a status of a first network port is indicative of operational failure based on at least the network performance indicators; determines a redundant network port and an intermediate network switch in the same network port cluster as that of the first network port; and triggers the intermediate network switch to reroute a portion of network traffic from the first network port to the redundant network port in response to the status of the first network port by terminating a communication link to the first network port until the operational failure of the first network port is resolved.

公开(公告)号：US20240223588A1

公开(公告)日：2024-07-04

申请号：US18479229

申请日：2023-10-02

Applicant: Mellanox Technologies, Ltd.

Inventor： Vadim GECHMAN ,  Haim Elisha ,  Nir Rosen ,  Chen Rozenbaum ,  Ahmad Saleh ,  Muhammad Abu Saleh ,  Emil Khshiboun

IPC: H04L9/40 ,  H04L41/16

CPC classification number: H04L63/1425 ,  H04L41/16 ,  H04L63/145

Abstract: A system and method may detect crypto mining, including using a processor: obtaining a stream of packets; extracting metadata of the packets; and determining whether the packets are related to crypto mining by providing the metadata of the packets to a machine learning (ML) model.

公开(公告)号：US20240098000A1

公开(公告)日：2024-03-21

申请号：US17956035

申请日：2022-09-29

Applicant: Mellanox Technologies, Ltd.

Inventor： Ioannis (Giannis) PATRONAS ,  Tamar Viclizki COHEN ,  Vadim GECHMAN ,  Dimitrios SYRIVELIS ,  Paraskevas BAKOPOULOS ,  Nikolaos ARGYRIS ,  Elad MENTOVICH

IPC: H04L43/065 ,  H04L41/16 ,  H04L43/0817 ,  H04L45/28

CPC classification number: H04L43/065 ,  H04L41/16 ,  H04L43/0817 ,  H04L45/28

Abstract: Systems, computer program products, and methods are described herein for machine learning (ML) based system for network resilience and steering. An example system monitors data movement across one or more network ports; extracts network performance indicators associated with the data movement; determines, via a machine learning (ML) subsystem, that a status of a first network port is indicative of operational failure based on at least the network performance indicators; determines that the first network port is associated with a first network port cluster; determines a redundant network port and an intermediate network switch associated with the first network port cluster; and triggers the intermediate network switch to reroute a portion of network traffic from the first network port to the redundant network port in response to the status of the first network port.