Invention Grant
- Patent Title: Ransomware detection in memory of a data processing unit using machine learning detection models
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Application No.: US17864303Application Date: 2022-07-13
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Publication No.: US12169563B2Publication Date: 2024-12-17
- Inventor: Vadim Gechman , Nir Rosen , Haim Elisha , Bartley Richardson , Rachel Allen , Ahmad Saleh , Rami Ailabouni , Thanh Nguyen
- Applicant: Mellanox Technologies, Ltd.
- Applicant Address: IL Yokneam
- Assignee: Mellanox Technologies, Ltd.
- Current Assignee: Mellanox Technologies, Ltd.
- Current Assignee Address: IL Yokneam
- Agency: Lowenstein Sandler LLP
- Main IPC: G06F21/56
- IPC: G06F21/56 ; G06N20/20

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.
Public/Granted literature
- US20230259625A1 RANSOMWARE DETECTION IN MEMORY OF A DATA PROCESSING UNIT USING MACHINE LEARNING DETECTION MODELS Public/Granted day:2023-08-17
Information query