公开(公告)号：US20230259625A1

公开(公告)日：2023-08-17

申请号：US17864303

申请日：2022-07-13

Applicant: Mellanox Technologies, Ltd.

Inventor： Vadim Gechman ,  Nir Rosen ,  Haim Elisha ,  Bartley Richardson ,  Rachel Allen ,  Ahmad Saleh ,  Rami Ailabouni ,  Thanh Nguyen

IPC: G06F21/56 ,  G06N20/20

CPC classification number: G06F21/566 ,  G06N20/20 ,  G06F2221/034

Abstract: Apparatuses, systems, and techniques for classifying one or more computer programs executed by a host device as being ransomware using a machine learning (ML) detection system. An integrated circuit is coupled to physical memory of a host device via a host interface. The integrated circuit hosts a hardware-accelerated security service to protect one or more computer programs executed by the host device. The security service obtains a series of snapshots of data stored in the physical memory and extracts a set of features from each snapshot of the series of snapshots, each snapshot representing the data at a point in time. The security service classifies a process of the one or more computer programs as ransomware or non-ransomware using the set of features and outputs an indication of ransomware responsive to the process being classified as ransomware.

公开(公告)号：US20230139081A1

公开(公告)日：2023-05-04

申请号：US17518057

申请日：2021-11-03

Applicant: Mellanox Technologies Ltd.

Inventor： Tamar Viclizki ,  Vadim Gechman ,  Henning Lysdal ,  Shie Mannor

IPC: G01R31/66 ,  G06N7/00

Abstract: System and method for detecting cable anomalies including collecting a first set cable measurement data. The first set of cable measurement data may be used to create a model including one or more groups based on the collected first set of cable measurement data. Collecting a second set of cable measurement data and determine a probability of anomaly for cable measurement data of the second set of cable measurement data, the probability of anomaly based on the deviation of the cable measurement data from one or more groups of the model.

公开(公告)号：US12015533B2

公开(公告)日：2024-06-18

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.

公开(公告)号：US20240086527A1

公开(公告)日：2024-03-14

申请号：US18120807

申请日：2023-03-13

Applicant: Mellanox Technologies, Ltd.

Inventor： Nir Rosen ,  Katya Egert-Berg ,  Rami Ailabouni ,  Ohad Peres ,  Elad Haimovich ,  Vadim Gechman ,  Haim Elisha ,  Adi Peled ,  Chen Rozenbaum ,  Ahmad Saleh ,  Shie Mannor

IPC: G06F21/55 ,  G06F21/52 ,  G06F21/56

CPC classification number: G06F21/554 ,  G06F21/52 ,  G06F21/566 ,  G06F2221/034

Abstract: Apparatuses, systems, and techniques of using one or more circuits (e.g., of a network interface) to obtain assembly code for one or more machine code segments loaded and/or injected into a process, and determine whether the assembly code is likely to perform at least one unauthorized task.