Protection of Web applications with behavioral biometrics – bot detection module

Generator for Human mouse/ cursor trajectory motion data based on mathematical priciples derived from collected datasets (sigma log normal model), able to bypass sophisticated anti bot system and captchas

Protection of Web applications with behavioral biometrics – custom bot module

Authorship Attribution in Social Media & Chat Biometrics & Behavioral Biometrics

Protection of Web applications with behavioral biometrics – data collection module

The last line between AI agents and your users. Maze-trace CAPTCHA with behavioral biometrics — invisible to humans, impenetrable to agents.

Generator of keystroke dynamics dataset

Behavioral biometrics is a cutting-edge field that focuses on analyzing user behavior to enhance security and authentication processes. This repository serves as a hub for everything related to this innovative technology. Read more at 👇👇👇

Machine Learning for PIN Side-Channel Attacks Based on Smartphone Motion Sensors

Fraud detection MCP server: Isolation Forest + Autoencoder ensemble, behavioral biometrics, agent-to-agent transaction protection, defense compliance (NITTF/SIEM/SEAD). 24 tools, 831 tests.

The platform for the keystroke biometrics researches - particularly to measure differences in usage of native or non-native language

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

First rank winner in the Computer Vision Course Competition for class 2022-2023.

Authentication using Behavioral Biometrics

A digital immune system designed to detect and neutralize identity-based threats from within an organization

A modern ML-powered biometric authentication system that identifies users based on their unique typing patterns. Built with Streamlit, scikit-learn, and Material Design 3.

An adversarial research harness analyzing the effectiveness of "Stealth" automation (Puppeteer/Playwright) against cursor entropy analysis and OS-level fingerprinting.

Deep learning-based behavioral biometric authentication system using smartphone accelerometer and gyroscope sensors for gait recognition. Achieves 3.43% EER and 92.68% accuracy through multi-sensor fusion and optimized neural networks. Built with MATLAB.

Behavioral biometrics fortress. Invisible protection for typing, mouse, and touch patterns.

Phrase-based keystroke behavioral authentication using dot product similarity, benchmarked against Manhattan, Mahalanobis, and SVM methods on the CMU Keystroke Dynamics Dataset.