Abstract
Due to the rapid development of Internet and web-based application the number of system which an ordinary user needs to interact grows almost proportionally. People are expected to make bank transfers, send emails using multiple mailboxes, send tax declarations, send birthday wishes solely online. What is more, sometimes only this way being available. The sensitivity of information created using online tools is unquestionable and the highest possible level of data security is therefore expected not only on a corporate level, but also it should be guaranteed to ordinary users. That is the reason why a convenient solution, that do not require any additional expensive equipment (e.g. RFID cards, fingerprint readers, retinal scanners), can assure such security is highly wanted. Therefore, a number of publications have been devoted to methods of user authentication based on their biometrical characteristics (that are obviously individual and can be easily used to encrypt users’ credentials) and one potentially most accessible group of methods is build on top of analysis of users’ personal typing styles. This paper is a presentation of a data evolution method used in our novel biometrical authentication procedure and contains a statistical analysis of the conducted experimental verification.
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Kozierkiewicz-Hetmanska, A., Marciniak, A., Pietranik, M. (2016). Data Evolution Method in the Procedure of User Authentication Using Keystroke Dynamics. In: Nguyen, NT., Iliadis, L., Manolopoulos, Y., Trawiński, B. (eds) Computational Collective Intelligence. ICCCI 2016. Lecture Notes in Computer Science(), vol 9875. Springer, Cham. https://doi.org/10.1007/978-3-319-45243-2_35
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DOI: https://doi.org/10.1007/978-3-319-45243-2_35
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