# keystroke-biometrics

**Repository Path**: z2007c/keystroke-biometrics

## Basic Information

- **Project Name**: keystroke-biometrics
- **Description**: Biometrics on Keystroke Dynamics
- **Primary Language**: Unknown
- **License**: MIT
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2019-07-08
- **Last Updated**: 2020-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Biometric Prediction on Keystroke Dynamics

This project takes a look at a biometric classifier with keystroke dynamics. Besides typing a password to validate a user, it is possible to discriminate users by their typing rhythms. This features can be used to detect impostors. This project is based on the data set of the publication _Killourhy, K. S., & Maxion, R. A. [Comparing anomaly detectors for keystroke dynamics.](http://www.cs.cmu.edu/%7Emaxion/pubs/KillourhyMaxion09.pdf) In Proc. of the Int. Conf. on Dependable Systems and Networks (DSN) (pp. 125-134)_. The objective is to build a classification baser on neural networks with the [keras](https://keras.io/) library.

The [data set](https://www.cs.cmu.edu/~keystroke/) consists of 51 subject each typing the password `.tie5Roanl` 400 times. The measures collected are the hold time (H), keydown-keydown time (DD) and keyup-keydown time (UD).

![tsne](tsne.png)

# License 
This project is licensed under the MIT license. See the [LICENSE](LICENSE) for details