Founding Partners

NexID Biometrics, LLC, was formed in December 2005 by four partners, Bojan Cukic, Lawrence Hornak, Michael Schuckers, and Stephanie Schuckers. Through their collaborations over eight years, the team has extensive expertise in the biometric field, in addition to being experts in related areas of computer science, electrical engineering, statistics, and biomedical engineering.

Dr. Bojan Cukic is an associate professor in the Lane Department of Computer Science and Electrical Engineering at West Virginia University, where he also serves as co-director of the Center for Identification Technology Research (CITeR). He is actively involved in research and development in biometrics and computer security, software engineering for high-assurance systems and dependable computing. Dr. Cukic published over a 100 articles in academic journals, magazines and conference proceedings. He received a US National Science Foundation Career award and a Tycho Brahe Award for research excellence from the NASA Office of Safety and Mission Assurance. He is currently an associate editor of the Empirical Software Engineering Journal, has served as a guest editor for November/December issue of IEEE Software magazine, and as the program chair for major international conferences, including 2005 IEEE Symposium on Distributed Reliable Computing and 2003 IEEE International Symposium on Software Reliability Engineering. Dr. Cukic received his MS and PhD in computer science from the University of Houston.

Keystone Dynamics

The partners of NexID Biometrics, LLC have come together to provide its clients with a systems-level approach to biometrics solutions connected to the latest biometrics innovations. The NexID Partners draw from their extensive backgrounds in areas spanning the fields at the foundation of biometrics and the systems in which they are embedded. Let NexID connect you with the right technology to enable biometrics to add value to your application.

One of the technologies NexID Biometrics LLC actively pursues is the keystroke dynamics. A behavioral biometric, it measures time intervals between successive and/or concurrent keystrokes. Our primary application is password hardening. In other words, our algorithms make password-based authentication schemes secure even if the password itself has been compromised.

Liveness

Recent reports, corroborated by research, have demonstrated that biometric devices can be spoofed by fairly straightforward means. Several methods have been suggested to make spoofing of these devices more difficult. One such method is liveness, i.e., a determination of whether or not the biometric is measured from a live source. We are developing liveness and other anti-spoofing technology which can be readily incorporated into existing commercial devices. Our approach is primarily software-based and utilizes the biometric information itself. Thus, it requires no additional hardware while maintaining system performance.