Authenticating mobile phone users using keystroke analysis
International Journal of Information Security
Keystroke Patterns Classification Using the ARTMAP-FD Neural Network
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A Keystroke Dynamics Based System for User Identification
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Authenticating user using keystroke dynamics and finger pressure
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IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
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This paper concerns database quality in the Keystroke Dynamics domain. The authors present their own algorithm and test it using two databases: the authors' own KDS database and Keystroke Dynamics - Benchmark Data Set online database. Following problems are studied theoretically and experimentally: classification accuracy, database representativeness, increase in typing proficiency and finally: time precision in samples acquisition. Results show that the impact of the database uniqueness on the experimental results is substantial and should not be disregarded in classification algorithm evaluation.