Invention Application
- Patent Title: AGGREGATING INPUT/OUTPUT OPERATION FEATURES EXTRACTED FROM STORAGE DEVICES TO FORM A MACHINE LEARNING VECTOR TO CHECK FOR MALWARE
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Application No.: US18453089Application Date: 2023-08-21
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Publication No.: US20250068734A1Publication Date: 2025-02-27
- Inventor: Roman Alexander Pletka , Dionysios Diamantopoulos , Slavisa Sarafijanovic , Charalampos Pozidis , Yves Alexandre Beraldo dos Santos , Andrew D. Walls
- Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Applicant Address: US NY Armonk
- Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Current Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Current Assignee Address: US NY Armonk
- Main IPC: G06F21/56
- IPC: G06F21/56 ; G06F21/55 ; G06F21/78

Abstract:
Provided are a computer program product, system, and method for aggregating input/output operation features extracted from storage devices to form a machine learning vector to check for malware. Feature extraction functions are generated for the storage devices, indicating I/O operation features for the storage devices to gather. The feature extraction functions are communicated to the storage devices. The feature extraction functions transmitted to the storage devices cause the storage devices to gather information on I/O operation features, identified in the feature extraction functions, from the storage devices and transmit the information on the I/O operation features to the storage controller. The information on the I/O operation features are received from the storage devices. Information based on the received information on the I/O operation features are inputted into a machine learning model to output indication whether data in the storage devices contains malware.
Information query