4 papers
Improving the Authentication with Built-in Camera Protocol Using Built-in Motion Sensors: A Deep Learning Solution
Cezara Benegui, Radu Tudor Ionescu
We propose an enhanced version of the Authentication with Built-in Camera (ABC) protocol by employing a deep learning solution based on built-in motion sensors. The standard ABC pr…
Adversarial Attacks on Deep Learning Systems for User Identification based on Motion Sensors
Cezara Benegui, Radu Tudor Ionescu
For the time being, mobile devices employ implicit authentication mechanisms, namely, unlock patterns, PINs or biometric-based systems such as fingerprint or face recognition. Whil…
To augment or not to augment? Data augmentation in user identification based on motion sensors
Cezara Benegui, Radu Tudor Ionescu
Nowadays, commonly-used authentication systems for mobile device users, e.g. password checking, face recognition or fingerprint scanning, are susceptible to various kinds of attack…
Convolutional Neural Networks for User Identificationbased on Motion Sensors Represented as Image
Cezara Benegui, Radu Tudor Ionescu
In this paper, we propose a deep learning approach for smartphone user identification based on analyzing motion signals recorded by the accelerometer and the gyroscope, during a si…