no code implementations • 22 Jul 2021 • Cezara Benegui, Radu Tudor Ionescu
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%.
no code implementations • 2 Sep 2020 • Cezara Benegui, Radu Tudor Ionescu
In this study, we focus on deep learning methods for explicit authentication based on motion sensor signals.
no code implementations • 1 Sep 2020 • Cezara Benegui, Radu Tudor Ionescu
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.
no code implementations • 8 Dec 2019 • Cezara Benegui, Radu Tudor Ionescu
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.