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KEasyLogger is a keystroke dynamics dataset containing labeled data of users typing free text on a desktop computer. The main characteristics of the dataset are: 17 unique different users. 379 sessions. Each session last one day. 2,726,203 total digraphs. 2,553,494 total trigraphs. Type of keystroke is free text. Scenario is desktop personal computer. Uncontrolled environment. The dataset is in MySQL format and consists of two tables, one for digraphs and one for trigraphs. Each row of the digraphs and trigraph table has the following attributes: Id: unique row identifiation number. KeyFrom: the first key of thediagraph. KeyTo: the second key of the digraph. Time: microseconds between keys idUser: unique user identifiation number idlogfile: unique session identification number.
See associated paper: Sznur, S., Garcia, S. (2015). Advances in Keystroke Dynamics Techniques to Group Users Sessions. International Journal of Information Security Science, 4(2), 26-38.
biometrics, keystroke dynamics, security
biometrics, keystroke dynamics, security
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