Usable Biometric Security

Many current security technologies have serious usability problems. How often do you forget, write down, or reuse a password? How many times have you lost your keys? Biometric systems can solve some of these problems but are often still vulnerable to simple attacks. They are also sometimes seen as socially unacceptable because of privacy concerns, for example. Security systems that are secure, easy to use, and acceptable are urgently needed.

In collaboration with Oleg Komogortsev at Texas State University, lab members Cecilia Aragon and Michael Brooks are developing and studying the usability of a new biometric authentication technique that identifies people based on unique properties of eye movement. It is hard to forge your handwritten signature because your hand moves in a unique way as you sign your name. Your eyes also have unique physical characteristics and move in a unique way. We use eye tracking to detect and verify that unique pattern, allowing you to log in to computer systems. This work is supported by the National Institute of Standards and Technology (NIST).

Publications

Perceptions of Interfaces for Eye Movement Biometrics. Michael Brooks, Cecilia R. Aragon, Oleg V. Komogortsev. IEEE/IAPR International Conference on Biometrics, 2013. PDF

Biometric Authentication via Oculomotor Plant Characteristics. Oleg V. Komogortsev, Alex Karpov, Larry Price, Cecilia R. Aragon. IEEE/IAPR International Conference on Biometrics, 2012. PDF

Biometric Identification via an Oculomotor Plant Mathematical Model. Oleg V. Komogortsev, Sampath Jayarathna, Cecilia R. Aragon, Mechehoul Mahmoud. Symposium on Eye Tracking Research and Applications, 2010. PDF

(poster) Oculomotor Plant Biometrics: Person-Specific Features in Eye Movements. Sampath Jayarathna, Oleg V. Komogortsev, Ceceilia R. Aragon, Mechehoul Mahmoud. Sigma Xi Annual Meeting and International Research Conference, 2009. PDF

(poster) Gaze Prints: User Centered Design and Evaluation of an Eye Movement-based Biometric Authentication System. Michael Brooks, Cecilia R. Aragon, Oleg V. Komogortsev. Symposium on Usable Privacy and Security, 2011. PDF

Biometric Identification via an Oculomotor Plant Mathematical Model. Oleg V. Komogortsev, Sampath Jayarathna, Cecilia R. Aragon, Mechehoul Mahmoud. Texas State University Technical Report TXSTATE-CS-TR-2009-17, 2009. Report

Media Coverage

Eye-tracking technology could replace passwords — if we want it to. GeekWire, July 16, 2013.

Eye-tracking could outshine passwords if made user-friendly. UW Today, July 16, 2013.

Eye Movements Could Be Next PC Password. TechNewsDaily, October 12, 2012.