DATA FRAUD DETECTION VIA DEVICE TYPE IDENTIFICATION

Patent №

US 9,107,076

Granted

2015-08-11

Filed 2012

Owner

SPRINT COMMUNICATIONS COMPANY L.P.

Lab

AI components

1

ml

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

13560277

Systems, methods and computer-readable media for detecting potential data fraud in a telecommunications environment are provided. The methods include referencing a characteristic associated with a device, where the characteristic provides an indication of a device type for a device. From the referenced characteristic, a device type is predicted. A comparison is made between the predicted device type and an expected device type that is identified based on the credentials being used by the device. Thereafter, a determination that the device is potentially performing data fraud can be made based on whether predicted device type matches the expected device type.

Machine learningH04W 12/126H04W 12/122

AI classification

Machine learning0.84
AI hardware0.08
Vision0.01
Natural language0.00
Knowledge representation0.00
Planning0.00
Speech0.00
Evolutionary computation0.00

Ownership

SPRINT COMMUNICATIONS COMPANY L.P.

assignment · 286810632

Assignors

ZANG, HUI, GATMIR-MOTAHARI, SARA, CHUAH, CHEN-NEE, LIU, HAN

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

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