Usability and security of gaze-based graphical grid passwords


Autoria(s): Arianezhad, Majid; Stebila, Douglas; Mozaffari, Behzad
Contribuinte(s)

Adams, Andrew

Murata, Kiyoshi

Data(s)

2013

Resumo

We present and analyze several gaze-based graphical password schemes based on recall and cued-recall of grid points; eye-trackers are used to record user's gazes, which can prevent shoulder-surfing and may be suitable for users with disabilities. Our 22-subject study observes that success rate and entry time for the grid-based schemes we consider are comparable to other gaze-based graphical password schemes. We propose the first password security metrics suitable for analysis of graphical grid passwords and provide an in-depth security analysis of user-generated passwords from our study, observing that, on several metrics, user-generated graphical grid passwords are substantially weaker than uniformly random passwords, despite our attempts at designing schemes to improve quality of user-generated passwords.

Formato

application/pdf

application/zip

Identificador

http://eprints.qut.edu.au/58524/

Publicador

Springer

Relação

http://eprints.qut.edu.au/58524/1/Proceedings_full_version.pdf

http://eprints.qut.edu.au/58524/2/ASM13_code.zip

http://www.kisc.meiji.ac.jp/~ethicj/USEC13/

DOI:10.1007/978-3-642-41320-9_2

Arianezhad, Majid, Stebila, Douglas, & Mozaffari, Behzad (2013) Usability and security of gaze-based graphical grid passwords. In Adams, Andrew & Murata, Kiyoshi (Eds.) Lecture Notes in Computer Science [Financial Cryptography and Data Security: FC 2013 Workshops, USEC and WAHC 2013, Okinawa, Japan, April 1, 2013, Revised Selected Papers], Springer, Okinawa, Japan, pp. 17-33.

Direitos

Copyright 2013 [please consult the author]

Fonte

School of Electrical Engineering & Computer Science; Institute for Future Environments; Science & Engineering Faculty

Palavras-Chave #080303 Computer System Security #080602 Computer-Human Interaction
Tipo

Conference Paper