Public Keystroke Dynamics Integration Dataset

Integration of the following three datasets for keystroke dynamics:1) Feit, A. M., Weir, D., and Oulasvirta, A. (2016). How we type: Movement strategies and performance in everyday typing. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, CHI ’16, pages 4262–4273, New York, NY, USA. ACM2) Banerjee, R., Feng, S., Kang, J. S., and Choi, Y. (2014). Keystroke patterns as prosody in digital writings:A case study with deceptive reviews and essays. InProceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 1469–1473, Doha, Qatar. Association for Computational Linguistics.3) Dhakal, V., Feit, A. M., Kristensson, P. O., and Oulasvirta, A. (2018). Observations on typing from million keystrokes. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, CHI ’18, pages 646:1–646:12, New York, NY, USA. ACMThe following feature model has been measured:- Inter Keys Interval (IKI)- Inter Keys Interval (IKI_2)- Inter Keys Interval (IKI_3)- Words per minute (WPM)- Error Corrections (EC)from which derive aggregated metrics (i.e., mean, variance and standard deviation).Refer to the following paper for features definition:M. L. Bernardi, M. Cimitile, F. Martinelli and F. Mercaldo, "Keystroke Analysis for User Identification using Deep Neural Networks," 2019 International Joint Conference on Neural Networks (IJCNN), Budapest, Hungary, 2019, pp. 1-8, doi: 10.1109/IJCNN.2019.8852068.If you use it, cite the above paper.