Typing Patterns: A Key to User Identification
IEEE Security and Privacy
A parallel decision tree-based method for user authentication based on keystroke patterns
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Reliable keystroke biometric system based on a small number of keystroke samples
ETRICS'06 Proceedings of the 2006 international conference on Emerging Trends in Information and Communication Security
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We developed the keystroke biometric system (KBS) using the statistical features of the discrete wavelet transformed keystroke pattern in the frequency domain in addition to those of the original keystroke pattern in the time domain. Only 20 keystroke patterns of user’s password typing, where the length of password is no more than 10, are used for building a KBS. The features in the time domain and those in the frequency domain are separately scored by the rules that we developed, and arbitrary given keystroke patterns are classified on the basis of total scores. The results show that our KBS is competitive in comparison with others due to its cheap computational cost, cheap usability cost, and the practically acceptable classification accuracy.