CUE: Counterfeit-resistant Usable Eye Movement-based Authentication via Oculomotor Plant Characteristics and Complex Eye Movement Patterns

被引:3
作者
Komogortsev, Oleg V. [1 ]
Karpov, Alexey [1 ]
Holland, Corey D. [1 ]
机构
[1] SW Texas State Univ, San Marcos, TX 78666 USA
来源
SENSING TECHNOLOGIES FOR GLOBAL HEALTH, MILITARY MEDICINE, DISASTER RESPONSE, AND ENVIRONMENTAL MONITORING II: AND BIOMETRIC TECHNOLOGY FOR HUMAN IDENTIFICATION IX | 2012年 / 8371卷
关键词
Biometrics; authentication; eye tracking; eye movements; oculomotor plant; scanpath; brain;
D O I
10.1117/12.919219
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
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 shoulder-surfing, 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.
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页数:9
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