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:
Jul. 26, 2022

Filed:

Aug. 29, 2017
Applicant:

Entit Software Llc, Sunnyvale, CA (US);

Inventors:

Manish Marwah, Palo Alto, CA (US);

Mijung Kim, Sunnyvale, CA (US);

Pratyusa K. Manadhata, Piscataway, NJ (US);

Assignee:

Micro Focus LLC, Santa Clara, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 21/31 (2013.01); G05B 13/02 (2006.01); G06N 20/00 (2019.01); H04L 9/40 (2022.01); G06N 20/20 (2019.01); G06F 17/18 (2006.01); G06N 3/04 (2006.01); G06N 5/00 (2006.01);
U.S. Cl.
CPC ...
G05B 13/028 (2013.01); G06F 21/316 (2013.01); G06N 20/00 (2019.01); G06N 20/20 (2019.01); H04L 63/08 (2013.01); H04L 63/1425 (2013.01); G06F 17/18 (2013.01); G06F 21/31 (2013.01); G06N 3/0454 (2013.01); G06N 5/003 (2013.01); H04L 63/145 (2013.01); H04L 2463/121 (2013.01);
Abstract

In some examples, a system balances a number of positive data points and a number of negative data points, to produce a balanced training data set, where the positive data points comprise features associated with authentication events that are positive with respect to an unauthorized classification, and the negative data points comprise features associated with authentication events that are negative with respect to the unauthorized classification. The system trains a plurality of models using the balanced training data set, wherein the plurality of models are trained according to respective different machine learning techniques. The system selects a model from the trained plurality of models based on relative performance of the plurality of models.


Find Patent Forward Citations

Loading…