Device authentication based on behavior classification using convolution neural network

摘要

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.