A Keystroke Biometric System Test-Taker Setup and Data Collection
Vinnie Monaco, Edyta Zych, John C. Stewart, Charles C. Tappert, Tyrone Allman, Mino Lamrabat, M. John Manohar, Hassan Poorshatery, Geoffrey Garcia, Elizabeth A. Teracino, Xiaolu Zhao · 2011
Pace University’s Seidenberg School of Computer Science and Information Systems (CSIS) has developed the Pace Keystroke Biometric System (PKBS), which can be used for both identifying and authenticating users via their typing rhythms and patterns through the monitoring and capturing of keyboard events. It has the capability to recognize with a high degree of accuracy the typing characteristics that are unique to each individual. Pace’s CSIS has been conducting research on this particular form of biometrics for the past eight years. The PKBS consists of three components: the Keystroke Entry System (KES) that collects data over the Internet, the Keystroke Feature Extractor (KFE) that extracts a feature vector from the raw data collected via the KES with the purpose of characterizing the individual’s typing dynamics, and the Keystroke Pattern Classifier (KPC) that is used in the authentication process. This research paper focuses on enhancements to the keystroke entry system to support a real-world application to authenticate students taking online tests.