Pace University's Keystroke Biometric System
Over recent years, we have developed in CSIS at Pace University long-text-input keystroke biometric systems for
identification (one-of-n response) and for authentication (accept/reject response).
As far as we can determine, these long-text-input systems are currently the best in existance
and we strongly desire to maintain our leadership in this area.
We have presented experimental results at several conferences and have recently had a book chapter published.
Primary references (read carefully to obtain an understanding of our system)
- Keystroke Journal Article (2010)
C.C. Tappert, S. Cha, M. Villani, and R.S. Zack, "Keystroke Biometric Identification and Authentication on Long-Text Input,"
Int. Journal Information Security and Privacy (IJISP), 2010.
- Keystroke Conference Paper (2010)
R.S. Zack, C.C. Tappert, and S. Cha,
"Performance of a Long-Text-Input Keystroke Biometric Authentication
System Using an Improved k-Nearest-Neighbor Classification Method,"
Proc. IEEE 4th Int. Conf. Biometrics, Washington D.C., September 2010.