公开(公告)号：US20240414199A1

公开(公告)日：2024-12-12

申请号：US18813106

申请日：2024-08-23

Applicant: AT&T Intellectual Property I, L.P.

Inventor： Antoine Diffloth ,  Natalie Gilbert ,  Sundaresan Manoharan

IPC: H04L9/40 ,  G06F18/2413 ,  G06N3/04 ,  H04L61/4511

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.

公开(公告)号：US12095813B2

公开(公告)日：2024-09-17

申请号：US17380677

申请日：2021-07-20

Applicant: AT&T Intellectual Property I, L.P.

Inventor： Antoine Diffloth ,  Natalie Gilbert ,  Sundaresan Manoharan

IPC: H04L9/40 ,  G06F18/2413 ,  G06N3/04 ,  H04L61/4511

CPC classification number: H04L63/1483 ,  G06F18/24147 ,  G06N3/04 ,  H04L61/4511 ,  H04L63/1416 ,  H04L63/1425 ,  H04L63/1475

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.

公开(公告)号：US20230028490A1

公开(公告)日：2023-01-26

申请号：US17380677

申请日：2021-07-20

Applicant: AT&T Intellectual Property I, L.P.

Inventor： Antoine Diffloth ,  Natalie Gilbert ,  Sundaresan Manoharan

IPC: H04L29/06 ,  H04L29/12 ,  G06K9/62 ,  G06N3/04

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.