Application of a Dynamic Identity Authentication Model Based on an Improved Keystroke Rhythm Algorithm

Wenchuan YANG, Fang FANG

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DOI: 10.4236/ijcns.2009.28082                

Abstract

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.

Keywords

Biometric Identification Technology, Keystroke Rhythm, Identity Authentication, Keystroke Latency Time, IPR, FAR

Conflicts of Interest

The authors declare no conflicts of interest.

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