Biometric-Authentication-Using-Mouse-Dynamics Mini Project

Physics-constrained offline RL pipeline for synthetic human mouse telemetry in behavioral-biometrics and continuous-authentication research (MuJoCo, d3rlpy, Balabit).

An open sourced approach to One-Shot Learning for Mouse Dynamics recognition in PyTorch. This includes tools for data preprocessing, training both classification and embedding models, and evaluating model performance on a Minecraft dataset.

A survey of the behavioral layer of bot detection and the limits of synthetic human input: what detectors measure, how mouse and keystroke input is synthesized, and why the popular generators are the easiest to catch.

Continuous Authentication System using Behavioural Biometric Recognition

Python project that uses machine learning to identify users based on their mouse movement patterns. It analyzes behavioral datasets and applies supervised learning techniques for behavior-based biometric authentication.

SecureAuth Enterprise is a behavioral biometric authentication platform that enhances cybersecurity by analyzing keystroke dynamics, mouse behavior, facial recognition, and WebAuthn biometrics for continuous user verification.

Real-time AI stress tracker using mouse & keystroke dynamics. Privacy-first, local-only, and 100% offline.

Mouse Dynamics-Based Intrusion Detection using Recurrence Plots and Vision Transformers

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.