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. 09, 2024

Filed:

Sep. 16, 2021
Applicant:

Jpmorgan Chase Bank, N.a., New York, NY (US);

Inventors:

Sean Moran, Putney, GB;

Ahmad Emami, New York, NY (US);

Fanny Silavong, London, GB;

Joachim Fainberg, Oslo, NO;

Ashish Tiwari, Glasgow, GB;

Antonios Georgiadis, London, GB;

Bill Moriarty, West Chester, PA (US);

Solomon Olaniyi Adebayo, Glasgow, GB;

Georgios Papadopoulos, London, GB;

Rohan Saphal, Glasgow, GB;

Robert Falconer Keith, Cardross, GB;

Rob Otter, Witham, GB;

Stephen Hall, Fordingbridge, GB;

Assignee:

JPMORGAN CHASE BANK, N.A., New York, NY (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 8/77 (2018.01); G06F 8/75 (2018.01); G06N 20/00 (2019.01); G06F 8/41 (2018.01); G06F 18/214 (2023.01); G06F 18/21 (2023.01);
U.S. Cl.
CPC ...
G06F 8/77 (2013.01); G06F 8/427 (2013.01); G06F 8/75 (2013.01); G06F 18/2148 (2023.01); G06F 18/2185 (2023.01); G06N 20/00 (2019.01);
Abstract

A method for facilitating identification of secrets in source code by using machine learning is provided. The method includes retrieving a plurality of files from a repository, each of the plurality of files including a source code file; parsing the source code file to identify a training feature; associating a predetermined label with the training feature, the predetermined label corresponding to a secret label and a non-secret label; training a model by using the training feature and the corresponding predetermined label; receiving, via a graphical user interface, a test file, the test file including a set of source codes; parsing the set of source codes to identify a feature; and determining, by using the model, a first characteristic of the feature.


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