Skip to content

Latest commit

 

History

History
15 lines (12 loc) · 483 Bytes

README.md

File metadata and controls

15 lines (12 loc) · 483 Bytes

Keystroke Dynamics Using LSTMs

This repository is a demo for using a LSTM based model to predict whether the person trying to login is authentic or not using keystroke dynamics.

Dependencies

  1. Keras
  2. TensorFlow
  3. Numpy
  4. Pandas
  5. Jupyter

Usage

Run jupyter notebook keystroke dynamics authentication.ipynb to run the notebook

Dataset

Cs.cmu.edu. (2018). Keystroke Dynamics - Benchmark Data Set. [online] Available at: https://www.cs.cmu.edu/~keystroke/