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The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.

Design and evaluation of a shoulder-surfing resistant graphical password scheme

Wiedenbeck, Susan, Waters, Jim, Sobrado, Leonardo, Birget, Jean-Camille·2006·Proceedings of the working conference on Advanced visual interfaces - AVI '06

Abstract

When users input their passwords in a public place, they may be at risk of attackers stealing their password. An attacker can capture a password by direct observation or by recording the individual's authentication session. This is referred to as shoulder-surfing and is a known risk, of special concern when authenticating in public places. Until recently, the only defense against shoulder-surfing has been vigilance on the part of the user. This paper reports on the design and evaluation of a game-like graphical method of authentication that is resistant to shoulder-surfing. The Convex Hull Click (CHC) scheme allows a user to prove knowledge of the graphical password safely in an insecure location because users never have to click directly on their password images. Usability testing of the CHC scheme showed that novice users were able to enter their graphical password accurately and to remember it over time. However, the protection against shoulder-surfing comes at the price of longer time to carry out the authentication.

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Metadata

Authors
Wiedenbeck, S., Waters, J., Sobrado, L., & Birget, J.-C.
Venue
Proceedings of the working conference on Advanced visual interfaces - AVI '06
Publisher
ACM Press
Published
2006
Pages
177
OpenAlex
W2157007820
Cited by
382
References
14
FWCI
10.52
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: Design and evaluation of a shoulder-surfing resistant graphical password scheme. https://app.cochat.ai/papers/10.1145/1133265.1133303
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Wiedenbeck, S., Waters, J., Sobrado, L., & Birget, J.-C. (2006). Design and evaluation of a shoulder-surfing resistant graphical password scheme. Proceedings of the working conference on Advanced visual interfaces - AVI '06. https://doi.org/10.1145/1133265.1133303

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.