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Neural Network developed to detect keystroke dynamics.

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Keystroke Analysis for Authentication

Developed a system for analysing keystroke (Keystroke Dynamics) to authenticate users based on their inherent typing behaviour.

We have made various models using SVM, Manahattan Detector and Neural Networks. Also developed a basic GUI for generating and retreiving keystroke data.

Our Neural Network is reaching upto 91% accuracy on the test set.

Link for the dataset.

References

https://www.cs.cmu.edu/~keystroke/

This is a very comprehensive source for anyone who wants to try out keystroke analysis.

https://www.cs.cmu.edu/~keystroke/KillourhyMaxion09.pdf

The above research paper compares various anomaly detection algorithms and how they fare for this purpose.

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Neural Network developed to detect keystroke dynamics.

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