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. 13, 2026

Filed:

May. 10, 2024
Applicant:

Bank of America Corporation, Charlotte, NC (US);

Inventors:

Ngoc Tran, Charlotte, NC (US);

Khushi Agrawal, Telangana, IN;

Maneesh Kumar Sethia, Telangana, IN;

Abhijit Behera, Telangana, IN;

Assignee:

Bank of America Corporation, Charlotte, NC (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04L 9/40 (2022.01); G06N 3/08 (2023.01); G06N 20/00 (2019.01); H04L 41/16 (2022.01);
U.S. Cl.
CPC ...
H04L 63/1458 (2013.01); G06N 3/08 (2013.01); G06N 20/00 (2019.01); H04L 41/16 (2013.01); H04L 63/1416 (2013.01);
Abstract

Aspects related to a machine learning-based platform to detect and handle volumetric attacks are provided. A volumetric attack detection and handling platform may train a machine learning model to identify and/or predict volumetric attacks, generate predicted corrective actions, and execute actual corrective actions. The platform may receive information of a network request corresponding to a volumetric attack or a request from a legitimate user. The platform may identify a correlation of volumetric attack and/or legitimate requests using the model. The platform may further identify a predicted corrective action using the model. The platform may cause, based on identifying the predicted corrective, initiation of a response to the malicious traffic request. The response to the malicious traffic request may comprise implementing an actual corrective action generated by the model. The platform may update the machine learning model based on the information of recent requests and corrective actions.


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