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Opportunistically collecting sensor data from a mobile device to facilitate user identification

專利號(hào)
US10867025B2
公開日期
2020-12-15
申請人
UnifyID(US CA San Francisco)
發(fā)明人
John C. Whaley
IPC分類
G06F21/31; G06F21/35; H04L29/06; H04W4/38; G06F21/32; H04W12/06; G06K9/00; G06N20/00; H04W12/00
技術(shù)領(lǐng)域
sensor,data,user,or,device,in,collection,beacon,can,trigger
地域: CA CA San Francisco

摘要

The inventors recently developed a system that authenticates and/or identifies a user of an electronic device based on passive factors, which do not require conscious user actions. During operation of the system, in response to a trigger event, the system collects sensor data from one or more sensors in the electronic device, wherein the sensor data includes movement-related sensor data caused by movement of the portable electronic device while the portable electronic device is in control of the user. Next, the system extracts a feature vector from the sensor data, and analyzes the feature vector to authenticate and/or identify the user. During this process, the feature vector is analyzed using a model trained with sensor data previously obtained from the portable electronic device while the user was in control of the portable electronic device.

說明書

Moreover, the signal-processing operations performed by processors 421-422 can include: filtering operations; conversions among the time, space and frequency domains; Fourier transforms; Butterworth filters, Z-plane analysis operations, wavelet transforms, or other operations to extract information from signals. Also, note that feature vectors 423-424 can include timestamps associated with specific sensor data collected on a per-sensor basis. Processors 421-422 can also extract encryption key bits from biometric/behavioral factors, and can combine them with other bits to form encryption keys that can be used to decrypt sensitive data. Next, processors 421-422 buffer feature vectors 423-424 and send them to database service 431, which aggregates and stores feature vectors obtained from multiple processors.

Analysis component 441 then queries database service 431 to obtain feature vectors 423-424, and performs various analysis and machine-learning operations to correlate the data and generate one or more security scores and associated identifiers 443.

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