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:
May. 30, 2023

Filed:

Feb. 28, 2020
Applicant:

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

Inventors:

Jeb R. Linton, Manassas, VA (US);

Darrel Haswell, Austin, TX (US);

Satya Sreenivas, Los Alamos, NM (US);

Naeem Altaf, Round Rock, TX (US);

Sanjay Nadhavajhala, Cupertino, CA (US);

Ron Williams, Austin, TX (US);

Bradley Evan Harris, Sandy Springs, GA (US);

John Walter Morris, Atlanta, GA (US);

Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
H04L 29/06 (2006.01); G06N 3/08 (2023.01); G06K 9/62 (2022.01); H04L 9/40 (2022.01); G06N 3/088 (2023.01); G06F 18/214 (2023.01);
U.S. Cl.
CPC ...
H04L 63/1416 (2013.01); G06F 18/2155 (2023.01); G06N 3/088 (2013.01); H04L 63/1425 (2013.01);
Abstract

Methods and systems for artificially intelligent security incident and event management using an attention-based deep neural network and transfer learning are disclosed. A method includes: collecting, by a computing device, system and network activity events in bulk; forming, by the computing device, a corpus using the collected system and network activity events; correlating, by the computing device, discrete events of the system and network activity events into offenses; adding, by the computing device, additional features to the corpus representing the offenses and disposition decisions regarding the offenses; training, by the computing device, a deep neural network using the corpus; and tuning, by the computing device, the deep neural network for a monitored computing environment using transfer learning.


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