F. Monrose and A. D. Rubin, “Keystroke dynamics as a biometric for authentication. future generation computing systems (FGCS),” Journal: Security on The Web (Special issue), March 2000.

has been cited by the following article:

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

  AUTHORS: Wenchuan YANG, Fang FANG

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

  JOURNAL NAME: International Journal of Communications, Network and System Sciences, Vol.2 No.8, November 17, 2009

  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.