Invention Grant
- Patent Title: Device authentication based on behavior classification using convolution neural network
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Application No.: US15394551Application Date: 2016-12-29
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Publication No.: US10061909B2Publication Date: 2018-08-28
- Inventor: Dolev Raviv , Lee Susman , Ofer Rosenberg
- Applicant: QUALCOMM Incorporated
- Applicant Address: US CA San Diego
- Assignee: QUALCOMM Incorporated
- Current Assignee: QUALCOMM Incorporated
- Current Assignee Address: US CA San Diego
- Agency: Seyfarth Shaw LLP
- Main IPC: G06F21/31
- IPC: G06F21/31 ; G06N3/08

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.
Public/Granted literature
- US20180189466A1 DEVICE AUTHENTICATION BASED ON BEHAVIOR CLASSIFICATION USING CONVOLUTION NEURAL NETWORK Public/Granted day:2018-07-05
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