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Proceedings Paper

CUE: counterfeit-resistant usable eye movement-based authentication via oculomotor plant characteristics and complex eye movement patterns
Author(s): Oleg V. Komogortsev; Alexey Karpov; Corey D. Holland
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Paper Abstract

The widespread use of computers throughout modern society introduces the necessity for usable and counterfeit-resistant authentication methods to ensure secure access to personal resources such as bank accounts, e-mail, and social media. Current authentication methods require tedious memorization of lengthy pass phrases, are often prone to shouldersurfing, and may be easily replicated (either by counterfeiting parts of the human body or by guessing an authentication token based on readily available information). This paper describes preliminary work toward a counterfeit-resistant usable eye movement-based (CUE) authentication method. CUE does not require any passwords (improving the memorability aspect of the authentication system), and aims to provide high resistance to spoofing and shoulder-surfing by employing the combined biometric capabilities of two behavioral biometric traits: 1) oculomotor plant characteristics (OPC) which represent the internal, non-visible, anatomical structure of the eye; 2) complex eye movement patterns (CEM) which represent the strategies employed by the brain to guide visual attention. Both OPC and CEM are extracted from the eye movement signal provided by an eye tracking system. Preliminary results indicate that the fusion of OPC and CEM traits is capable of providing a 30% reduction in authentication error when compared to the authentication accuracy of individual traits.

Paper Details

Date Published: 7 May 2012
PDF: 9 pages
Proc. SPIE 8371, Sensing Technologies for Global Health, Military Medicine, Disaster Response, and Environmental Monitoring II; and Biometric Technology for Human Identification IX, 83711X (7 May 2012); doi: 10.1117/12.919219
Show Author Affiliations
Oleg V. Komogortsev, Texas State Univ. San Marcos (United States)
Alexey Karpov, Texas State Univ. San Marcos (United States)
Corey D. Holland, Texas State Univ. San Marcos (United States)


Published in SPIE Proceedings Vol. 8371:
Sensing Technologies for Global Health, Military Medicine, Disaster Response, and Environmental Monitoring II; and Biometric Technology for Human Identification IX
Sárka O. Southern; B. V. K. Vijaya Kumar; Salil Prabhakar; Arend H. J. Kolk; Kevin N. Montgomery; Arun A. Ross; Carl W. Taylor, Editor(s)

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