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. 17, 2024

Filed:

Jul. 20, 2021
Applicant:

At&t Intellectual Property I, L.p., Atlanta, GA (US);

Inventors:

Antoine Diffloth, Frisco, TX (US);

Natalie Gilbert, Dallas, TX (US);

Sundaresan Manoharan, Plano, TX (US);

Assignee:
Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
H04L 9/40 (2022.01); G06F 18/2413 (2023.01); G06N 3/04 (2023.01); H04L 61/4511 (2022.01);
U.S. Cl.
CPC ...
H04L 63/1483 (2013.01); G06F 18/24147 (2023.01); G06N 3/04 (2013.01); H04L 61/4511 (2022.05); H04L 63/1416 (2013.01); H04L 63/1425 (2013.01); H04L 63/1475 (2013.01);
Abstract

The described technology is generally directed towards homoglyph attack detection. A homoglyph attack detection service can create images of customer's protected domain names. A convolutional neural network can generate feature vectors based on the images. The feature vectors can be stored in a similarity search data store. Newly observed domain names can be compared to the customer's protected domain names, by also generating feature vectors for the newly observed domain names and conducting approximate nearest neighbor searches. Search results can be further evaluated by comparing protected domain names to newly observed domain names using a siamese neural network which applies a similarity threshold. Newly observed domain names that meet or exceed the similarity threshold can be flagged for further action.


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