%0 Journal Article
%T Application of a Dynamic Identity Authentication Model Based on an Improved Keystroke Rhythm Algorithm
%A Wenchuan YANG
%A Fang FANG
%J Int'l J. of Communications, Network and System Sciences
%P 714-719
%@ 1913-3723
%D 2009
%I Scientific Research Publishing
%R 10.4236/ijcns.2009.28082
%X Keystroke rhythm identification, which extracts biometric characteristics through keyboards without addi-tional expensive devices, is a kind of biometric identification technology. The paper proposes a dynamic identity authentication model based on the improved keystroke rhythm algorithm in Rick Joyce model and implement this model in a mobile phone system. The experimental results show that comparing with the original model, the false alarm rate (FAR) of the improved model decreases a lot in the mobile phone system, and its growth of imposter pass rate (IPR) is slower than the Rick Joyce model¡¯s. The improved model is more suitable for small memory systems, and it has better performance in security and dynamic adaptation. This improved model has good application value.
%K Biometric Identification Technology
%K Keystroke Rhythm
%K Identity Authentication
%K Keystroke Latency Time
%K IPR
%K FAR
%U http://www.scirp.org/journal/PaperInformation.aspx?PaperID=819