ASCERTAINING NETWORK DEVICES USED WITH ANONYMOUS IDENTIFIERS

Patent №

US 11,599,673

Granted

2023-03-07

Filed 2020

Owner

T-MOBILE USA, INC.

Lab

AI components

6

ml · nlp · kr · planning · evo · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

16932491

Techniques for identifying certain types of network activity are disclosed, including parsing network traffic to automatically recognize anonymous identifiers. Such techniques may be used to identify and eliminate malicious and/or undesirable network traffic, and to identify topics relevant to a user of a particular network device so that communications to such a user are more likely to relate to a topic of interest to the user.

Machine learningNatural languageKnowledge representationPlanningEvolutionary computationAI hardwareG06F 21/6254H04L 63/0421H04L 67/02H04L 67/535H04L 69/22H04W 12/02G06Q 30/0267G06Q 30/0277+1 more

AI classification

Natural language1.00
Planning1.00
AI hardware0.99
Machine learning0.91
Knowledge representation0.88
Evolutionary computation0.85
Speech0.00
Vision0.00

Ownership

T-MOBILE USA, INC.

assignment · 532450512

Assignors

AL-KABRA, RAMI, BODIGA, PREM KUMAR, DAHLSTROM, NOAH, SINHA, RUCHIR, MORROW, JONATHAN, DRAKE, AARON, PHAN, CHUONG

On an employer assignment, the assignors are typically the inventors.

From the same owner

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