Invention Grant
- Patent Title: Machine learning anomaly detection of process-loaded DLLs
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Application No.: US16695781Application Date: 2019-11-26
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Publication No.: US11522891B2Publication Date: 2022-12-06
- Inventor: Ron Chittaro
- Applicant: MICRO FOCUS LLC
- Applicant Address: US CA Santa Clara
- Assignee: MICRO FOCUS LLC
- Current Assignee: MICRO FOCUS LLC
- Current Assignee Address: US CA Santa Clara
- Main IPC: H04L29/06
- IPC: H04L29/06 ; H04L9/40 ; G06F11/30 ; H04L43/065 ; G06N20/00

Abstract:
An endpoint device monitors loading of dynamically loaded libraries (DLLs) by a process, such as during execution of the process on the endpoint device. The endpoint device can generate an endpoint-independent representation of the DLLs upon exiting of the process. The endpoint device may generate a hash, such as a one-way hash, of the endpoint-independent representation. The endpoint device may transmits the process and the hash to a management device to detect in a machine learning manner whether loading of the DLLs during the execution of the process was anomalous.
Public/Granted literature
- US20210160265A1 MACHINE LEARNING ANOMALY DETECTION OF PROCESS-LOADED DLLS Public/Granted day:2021-05-27
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