The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jan. 14, 2025

Filed:

Dec. 07, 2020
Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

Mu Qiao, Belmont, CA (US);

Wenqi Wei, Atlanta, GA (US);

Eric Kevin Butler, San Jose, CA (US);

Divyesh Jadav, San Jose, CA (US);

Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 21/57 (2013.01); G06F 16/901 (2019.01); G06F 18/214 (2023.01); G06F 21/55 (2013.01); G06F 21/56 (2013.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
G06F 21/577 (2013.01); G06F 16/9024 (2019.01); G06F 18/214 (2023.01); G06F 21/552 (2013.01); G06F 21/561 (2013.01); G06N 20/00 (2019.01);
Abstract

A processor can be configured to receive data associated with, and/or access to, a computing system's file system structure. The processor can also be configured to determine file patterns, file path patterns and/or graph patterns associated with the computing system. The processor can also be configured to build a graph structure having nodes and edges, the graph structure representing the file patterns, file path patterns and graph patterns, wherein the nodes of the graph structure represent files and attributes of the files and the edges of the graph structure represent connectivity between the files. The processor can also be configured to train, based on the graph structure, a first machine learning model to learn a feature vector associated with a file. The processor can also be configured to train, based on the feature vector, a second machine learning model to identify a vulnerable ransomware target.


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