Invention Grant
- Patent Title: Malware detection by distributed telemetry data analysis
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Application No.: US17069189Application Date: 2020-10-13
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Publication No.: US11886587B2Publication Date: 2024-01-30
- Inventor: Arjun Udupi Raghavendra , Tim Uwe Scheideler , Matthias Seul , Andrea Giovannini
- Applicant: KYNDRYL, INC.
- Applicant Address: US NY New York
- Assignee: KYNDRYL, INC
- Current Assignee: KYNDRYL, INC
- Current Assignee Address: US NY New York
- Agency: Calderon Safran & Cole P.C
- Agent Dan Housley; Andrew M. Calderon
- Main IPC: G06F21/56
- IPC: G06F21/56 ; G06F21/57 ; G06F21/53 ; G06F18/21 ; G06N3/045

Abstract:
Aspects of the present invention disclose a method, computer program product, and system for detecting a malicious process by a selected instance of an anti-malware system. The method includes one or more processors examining a process for indicators of compromise to the process. The method further includes one or more processors determining a categorization of the process based upon a result of the examination. In response to determining that the categorization of the process does not correspond to a known benevolent process and a known malicious process, the method further includes one or more processors executing the process in a secure enclave. The method further includes one or more processors collecting telemetry data from executing the process in the secure enclave. The method further includes one or more processors passing the collected telemetry data to a locally trained neural network system.
Public/Granted literature
- US20220114260A1 MALWARE DETECTION BY DISTRIBUTED TELEMETRY DATA ANALYSIS Public/Granted day:2022-04-14
Information query