Keystrokes dynamics has been used for quite sometimes in authentication of users. The technique has immense possibilities due to ease of implementation and un-obtrusive nature. Researchers have been working for attaining improved accuracy rate of user identification. Such techniques are validated using standard data-set. As it turns out, the quality of input data is very much important for generating an accurate use pattern vector. In this paper, an application for data collection has been presented. The application, besides creating a user data-set, also generates a signature vector database.
CITATION STYLE
Mukherjee, P., & Chaki, R. (2016). Towards generating a unique signature for remote user by keystrokes dynamics. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9842 LNCS, pp. 661–671). Springer Verlag. https://doi.org/10.1007/978-3-319-45378-1_57
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