Records the keystroke timing data and creates a model. Applies learning algorithms and statistical models to differentiate between a valid user and an intruder

Generate dataset for keystroke timings for exploratory and research purposes.

The product is developed as a part of the final year project. It is aimed at providing an architecture and open source code to developers so that they can embed this into their applications to enhance the security. The services provided are top notch and cover the broad spectrum of computer and network security. All the features of the product i…

Typing dynamics project of the machine learning discipline.

Optimizing both weight and structure of neural network using genetic algorithm using neat-python library. identifying the user by its typing patterns using the evolved neural network and also compared it with 3-layer neural network.

Log-in by password and key stroke dynamic

This is a simple keystroke biometrics identification system implemented in Java.

An easy-to-use website to collect keystroke data from volunteers.

«C#-Analyzer of Keystroke Dynamics» is designed for user identification via keyboard typing characteristic, such as duration of key presses and intervals between them.

Login and register with Captcha concept

This app gathers keystroke data from study participants for our thesis (biometric user identification using GNNs).