⌨️🔒 2FA (Two-factor Authentication) alternative using Keystroke Dynamics
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Updated
Jan 12, 2024 - HTML
⌨️🔒 2FA (Two-factor Authentication) alternative using Keystroke Dynamics
Generator of keystroke dynamics dataset
flea market TypeNet
A software for capturing and evaluating typing behaviour, including presenting the results via diagrams
Implementation done in Java. Keystroke dynamics is a biometric authentication method that analyzes the unique typing patterns of individuals to verify their identity. By capturing timing information between keystrokes, such as key press duration and intervals, keystroke dynamics can create a unique profile for each user.
The supplemental material for the journal article: Early-warning signals for disease activity in patients diagnosed with multiple sclerosis based on keystroke dynamics
«C#-Analyzer of Keystroke Dynamics» is designed for user identification via keyboard typing characteristic, such as duration of key presses and intervals between them.
Our term project for Machine Intelligence and Expert Systems Assignments (EC60091) Autumn 2020 at IIT Kharagpur.
Simple C++ program to simulate keystrokes based on a given dataset. The given dataset used here: https://www.cs.cmu.edu/~keystroke/
Undergraduate thesis work: Identify users on the basis of keystroke dynamics.
Project developed for the exam of Biometric Systems. Application that uses machine learning algorithms to identify and recognize the user based on typing patterns on the keyboard
Adversarial biometric attacks on mobile devices
An easy-to-use website to collect keystroke data from volunteers.
A python tool to extract biometric information about typing behaviour from captured network traffic (Wireshark)
Provides typing practice and analysis based on keystroke latency
Typing dynamics project of the machine learning discipline.
The platform for the keystroke biometrics researches - particularly to measure differences in usage of native or non-native language
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