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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 Face Authentication on Android
Software that blocks account hijacking attacks.
This repository includes the code for the published paper "CNN-Based Continuous Authentication of Smartphones Using Mobile Sensors." It features the model architecture, data collection, data preprocessing, and methods for feature extraction.
S3 platform code for results to Industry 4.0
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 University of Copenhagen.
Context-aware fusion for multimodal biometrics
Continuous Authentication System using Behavioural Biometric Recognition