TY - GEN
T1 - PursuitPass
T2 - 32nd SIBGRAPI Conference on Graphics, Patterns and Images, SIBGRAPI 2019
AU - Carneiro, Alex Torquato S.
AU - Elmadjian, Carlos Eduardo L.
AU - Gonzales, Candy
AU - Coutinho, Flavio L.
AU - Morimoto, Carlos H.
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/10
Y1 - 2019/10
N2 - As our lives get more deeply submerged in digital format, ubiquitous access to sensitive data requires more secure and efficient user authentication procedures. Methods that solely relied on password entry were lately enhanced with the use of biometrics. Yet, these techniques can still be tricked by, for example, recordings of the face, voice, and fingerprint cloning. In this paper we introduce PursuitPass, a compact, robust, and efficient visual pursuit-based authentication system. PursuitPass is a user calibration-free method that requires the user to enter a password by visually pursuing moving targets on a small screen, such as a public ATM or a personal mobile phone. Because eye movements are used as input, passwords are better protected against shoulder surfing. Also, since targets can potentially move in unpredictable ways, it naturally imposes a liveness feature that cannot be counterfeited by recordings of the eyes. We investigated four pattern-matching algorithms to match visual pursuit user data with the movement of the targets. Two experiments were conducted. The first experiment aimed to define the best performing matching algorithm and configuration for PursuitPass. The second experiment aimed to evaluate the performance of our prototype. PursuitPass achieved a 96.82% accuracy with an average time of 10.42 s on a series of 4-digit PIN entry trials.
AB - As our lives get more deeply submerged in digital format, ubiquitous access to sensitive data requires more secure and efficient user authentication procedures. Methods that solely relied on password entry were lately enhanced with the use of biometrics. Yet, these techniques can still be tricked by, for example, recordings of the face, voice, and fingerprint cloning. In this paper we introduce PursuitPass, a compact, robust, and efficient visual pursuit-based authentication system. PursuitPass is a user calibration-free method that requires the user to enter a password by visually pursuing moving targets on a small screen, such as a public ATM or a personal mobile phone. Because eye movements are used as input, passwords are better protected against shoulder surfing. Also, since targets can potentially move in unpredictable ways, it naturally imposes a liveness feature that cannot be counterfeited by recordings of the eyes. We investigated four pattern-matching algorithms to match visual pursuit user data with the movement of the targets. Two experiments were conducted. The first experiment aimed to define the best performing matching algorithm and configuration for PursuitPass. The second experiment aimed to evaluate the performance of our prototype. PursuitPass achieved a 96.82% accuracy with an average time of 10.42 s on a series of 4-digit PIN entry trials.
KW - Pattern Recognition
KW - Security
KW - Smooth pursuit
UR - https://www.scopus.com/pages/publications/85077080781
U2 - 10.1109/SIBGRAPI.2019.00038
DO - 10.1109/SIBGRAPI.2019.00038
M3 - Conference contribution
AN - SCOPUS:85077080781
T3 - Proceedings - 32nd Conference on Graphics, Patterns and Images, SIBGRAPI 2019
SP - 226
EP - 233
BT - Proceedings - 32nd Conference on Graphics, Patterns and Images, SIBGRAPI 2019
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 28 October 2019 through 31 October 2019
ER -