User Authentication Based on Keystroke Dynamics Analysis
In this paper a few methods used to authenticate users on the basis of their keystroke dynamics have been presented. Two of the methods define distance measures to compare typed texts. The third method examines feature distribution parameters. Some modification of one of the methods has been proposed. The methods have been tested and their performance compared on two data sets. Finally the three methods have been combined to generate another decision rule, which has been also compared with the three original ones.
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