Dataset for An Ensemble Method for Keystroke Dynamics Authentication in Free-Text Using Word Boundaries

Dataset used in the article "An Ensemble Method for Keystroke Dynamics Authentication in Free-Text Using Word Boundaries". For each user and free-text sample of the companion dataset LSIA, contains a CSV file with the list of words in the sample that survived the filters described in the article, together with the CSV files with training instances for each word. The source data comes from a dataset used in previous studies by the authors. The language of the free-text samples is Spanish.

We introduce a novel ensemble method for keystroke dynamics authentication in free-text using word boundaries and individual classifiers. In contrast with other state-of-the-art methods which reach acceptable error rates with very little training, our method demands a large training set, in the order of 50.000 characters, but reaches a lower EER, around 2.5%, when evaluated in real-world conditions. Combining both approaches in a mixed scheme allows both objectives to be achieved; the first is used in the beginning when the training data is scarce, while the second excels after enough samples are available.