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Found 4 papers, 0 papers with code
Improving the Authentication with Built-in Camera Protocol Using Built-in Motion Sensors: A Deep Learning Solution
Our change to the ABC protocol results in a multi-modal protocol that lowers the false acceptance rate for the attack proposed in our previous work to a percentage as low as 0. 07%.
Adversarial Attacks on Deep Learning Systems for User Identification based on Motion Sensors
In this study, we focus on deep learning methods for explicit authentication based on motion sensor signals.
To augment or not to augment? Data augmentation in user identification based on motion sensors
In order to prevent some of the possible attacks, these explicit authentication systems can be enhanced by considering a two-factor authentication scheme, in which the second factor is an implicit authentication system based on analyzing motion sensor data captured by accelerometers or gyroscopes.
Convolutional Neural Networks for User Identificationbased on Motion Sensors Represented as Image
To pre-train the CNN and the RNN models for multi-class user classification, we use a different set of users than the set used for few-shot user identification, ensuring a realistic scenario.
