| A comprehensive study of frequency, interference, and training of multiple graphical passwords |
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Conference on Human Factors in Computing Systems
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Proceedings of the 27th international conference on Human factors in computing systems
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Boston, MA, USA
SESSION: Security
table of contents
Pages 889-898
Year of Publication: 2009
ISBN:978-1-60558-246-7
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Authors
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Katherine M. Everitt
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University of Washington, Seattle, WA, USA
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Tanya Bragin
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University of Washington, Seattle, WA, USA
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James Fogarty
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University of Washington, Seattle, WA, USA
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Tadayoshi Kohno
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University of Washington, Seattle, WA, USA
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Downloads (6 Weeks): 34, Downloads (12 Months): 267, Citation Count: 0
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ABSTRACT
Graphical password systems have received significant attention as one potential solution to the need for more usable authentication, but nearly all prior work makes the unrealistic assumption of studying a single password. This paper presents the first study of multiple graphical passwords to systematically examine frequency of access to a graphical password, interference resulting from interleaving access to multiple graphical passwords, and patterns of access while training multiple graphical passwords. We find that all of these factors significantly impact the ease of authenticating using multiple facial graphical passwords. For example, participants who accessed four different graphical passwords per week were ten times more likely to completely fail to authenticate than participants who accessed a single password once per week. Our results underscore the need for more realistic evaluations of the use of multiple graphical passwords, have a number of implications for the adoption of graphical password systems, and provide a new basis for comparing proposed graphical password systems.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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