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.
Patent No.:
Date of Patent:
Dec. 30, 2025
Filed:
Nov. 17, 2023
Applicant:
A10 Networks, Inc., San Jose, CA (US);
Inventors:
Madhav Aggarwal, San Jose, CA (US);
Vishnu Vasanth Radja, San Jose, CA (US);
Vernon Richard Groves, San Jose, CA (US);
Assignee:
A10 NETWORKS INC, San Jose, CA (US);
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04L 9/40 (2022.01); G06F 16/35 (2019.01); G06F 16/9535 (2019.01); G06F 40/20 (2020.01); G06F 40/284 (2020.01); G06F 40/58 (2020.01); G06N 3/0455 (2023.01);
U.S. Cl.
CPC ...
H04L 63/1425 (2013.01); G06F 16/35 (2019.01); G06F 16/9535 (2019.01); G06F 40/20 (2020.01); G06F 40/284 (2020.01); G06F 40/58 (2020.01); G06N 3/0455 (2023.01);
Abstract
A method and system for detecting malicious network packets via an intelligent large language model are described. In addition, a method for fine-tuning a pretrained large language model to detect malicious network packets is described. The training process generates a plurality of embeddings from input network packet data, generates clusters for those embeddings, performs an entropy analysis, and calculates a loss value. Contrastive learning is used to further fine-tune the large language model based embedder.