Device authentication based on behavior classification using convolution neural network
US10061909B2 · kind B2 · utility
1Cited by
2References
15Claims
0Family size
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Key dates
| Filing date | Dec 29, 2016 |
| Grant date | Aug 28, 2018 |
| Priority date | — |
| Expiry date | Dec 29, 2036 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/044
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method of authenticating a user on a mobile device includes gathering samples of behavioral data of the user from multiple sensors of the mobile device, each sensor generating a different number of samples. The method also includes normalizing the samples to have a same number of samples for each sensor. The method further includes extracting, with a convolutional neural network, features from the normalized samples and authenticating the user based on the extracted features.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.