behavioral-biometrics

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 – bot detection module

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

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

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

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 👇👇👇

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.

Keystroke dynamics biometric authentication by Shazin Sadhik — typing biometrics API with TypeScript and Ruby SDKs, continuous authentication, bot detection, and risk intelligence

ML-powered deception-based banking honeypot system using React, FastAPI, and behavioral biometrics.

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

Authentication using Behavioral Biometrics

Identify whether a mobile touch comes from a human, a software script, or a specific cheating hardware device — gesture fingerprinting across 9 behavioral dimensions, built from 75k+ labeled gestures and 8 real cheating devices bought off the shelf. English: README.en.md · docs/en/

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

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.