Public Keystroke Dynamics Integration Dataset

Integration of the following three datasets for keystroke dynamics:<br>1) Feit, A. M., Weir, D., and Oulasvirta, A. (2016). <b>How we type: Movement strategies and performance in everyday typing.</b> In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, CHI ’16, pages 4262–4273, New York, NY, USA. ACM<br><br>2) Banerjee, R., Feng, S., Kang, J. S., and Choi, Y. (2014). <b>Keystroke patterns as prosody in digital writings:<br>A case study with deceptive reviews and essays</b>. In<br>Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 1469–1473, Doha, Qatar. Association for Computational Linguistics.<br>3) Dhakal, V., Feit, A. M., Kristensson, P. O., and Oulasvirta, A. (2018). <b>Observations on typing from million keystrokes</b>. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, CHI ’18, pages 646:1–646:12, New York, NY, USA. ACM<br>The following feature model has been measured:- Inter Keys Interval (IKI)<br>- Inter Keys Interval (IKI_2)- Inter Keys Interval (IKI_3)- Words per minute (WPM)<br>- Error Corrections (EC)from which derive aggregated metrics (i.e., mean, variance and standard deviation).<br><br><b>Refer to the following paper for features definition:</b>M. L. Bernardi, M. Cimitile, F. Martinelli and F. Mercaldo, "Keystroke Analysis for User Identification using Deep Neural Networks," <em>2019 International Joint Conference on Neural Networks (IJCNN)</em>, Budapest, Hungary, 2019, pp. 1-8, doi: 10.1109/IJCNN.2019.8852068.<br><br>If you use it, cite the above paper.<br>