Master Thesis - Continuous Authentication using Inertial-Sensors of Smartphones and Deep Learning

This project, proposes a methodology for continuous implicit authentication of smartphones users, using the navigation data, in order to improve the security and ensure the privacy of sensitive personal data.

Continuous authentication of users by their interaction with the keyboard using keystrokes dynamics with deep learning

Continuous Face Authentication on Android

Software that blocks account hijacking attacks.

Context-aware fusion for multimodal biometrics

This repository contains the full code-base – including a recorded demonstration of the application – of a simple prototype implemented as a proof of concept for the thesis – Continuous authentication using "something only you can do" – submitted in fulfillment of the requirements for the degree of Master of Science in Software Design at the IT …

S3 platform code for results to Industry 4.0

Continuous Authentication System using Behavioural Biometric Recognition