Pace University's Keystroke Biometric System (PKBS)
Over recent years, CSIS at Pace University has developed 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 are currently the best long-text-input keystroke systems in existance.
- EISIC2012 Conference Paper
John V. Monaco, Ned Bakelman, Sung-Hyuk Cha, and Charles C. Tappert,
"Developing a Keystroke Biometric System for Continual Authentication of Computer Users,"
Proc. 2012 European Intelligence and Security Informatics Conf., Denmark, August 2012.
- IJCB2011 Conference Paper
John C. Stewart, John V. Monaco, Sung-Hyuk Cha, and Charles C. Tappert,
"An Investigation of Keystroke and Stylometry Traits for Authenticating Online Test Takers,"
Proc. IEEE Int. Joint Conf. Biometrics, Washington D.C., October 2011.
- BTAS2010 Conference Paper
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.
- 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.