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:
Sep. 10, 2024

Filed:

Jan. 11, 2022
Applicant:

Splunk Inc., San Francisco, CA (US);

Inventors:

Cui Lin, Los Altos, CA (US);

Stanislav Miskovic, San Jose, CA;

Assignee:

Splunk Inc., San Francisco, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04L 9/40 (2022.01); G06F 18/214 (2023.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
H04L 63/1425 (2013.01); G06F 18/214 (2023.01); G06N 20/00 (2019.01); H04L 63/1416 (2013.01); H04L 63/1466 (2013.01); H04L 63/166 (2013.01); H04L 63/20 (2013.01);
Abstract

A computerized method is disclosed that includes operations of obtaining historical network traffic and preparing a training set of data by: applying security rules to the historical network traffic data to obtain a first filtered subset of network transmissions representing a first set of beaconing candidates that is labeled to form a first set of labeled results, applying a clustering logic to the historical network traffic data to obtain a second filtered subset of network transmissions representing a second set of beaconing candidates that is labeled to form a second set of labeled results, applying a machine learning model to the historical network traffic data to label the historical network traffic forming a third set of labeled results, wherein the first, second and third sets of labeled results are augmented to form an augmented labeled training set, and training a machine learning model using the augmented labeled training set.


Find Patent Forward Citations

Lin, Cui. (2024). Systems and methods for training a machine learning model to detect beaconing communications (U.S. Patent No. 12088611). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/12088611

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

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