Master Thesis - Continuous Authentication using Inertial-Sensors of Smartphones and Deep Learning
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Updated
Sep 17, 2019 - Jupyter Notebook
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
Keystroke dynamics biometric authentication by Shazin Sadhik — typing biometrics API with TypeScript and Ruby SDKs, continuous authentication, bot detection, and risk intelligence
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.
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AI-powered continuous authentication that prevents session hijacking using behavioral biometrics with zero user friction.
Continuous Authentication System using Behavioural Biometric Recognition
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 …
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ZTSSH: Zero-Trust SSH Protocol Implementation in Rust with Continuous Authentication for Enhanced Security and Modern Cryptography. Open-source and secure.
Research code for SSPRA, a modality-agnostic continuous authentication framework using state-space temporal modeling and multimodal sensor fusion.
A real-time continuous authentication system using face recognition (FaceNet), keystroke dynamics (LSTM Autoencoder), and mouse dynamics (GRU Autoencoder) with a Chrome extension, FastAPI backend, and React admin portal.
Drift-Adaptive Behavioral Biometrics Framework for Continuous Authentication using Keystroke & Mouse Dynamics.
Agent IA d'authentification continue et adaptive pour systèmes bancaires — combinant Machine Learning (Random Forest) et scoring comportemental, avec API FastAPI, PostgreSQL et interface bancaire de démonstration (React). Projet de TER — Master 1 Informatique, Université Jean Monnet.
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