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Cited by 309

The DOI matches its Crossref record; 24 of the 24 references it cites were found in a registry or an index.

Reducing shoulder-surfing by using gaze-based password entry

Kumar, Manu, Garfinkel, Tal, Boneh, Dan, Winograd, Terry·2007·Proceedings of the 3rd symposium on Usable privacy and security

Abstract

Shoulder-surfing -- using direct observation techniques, such as looking over someone's shoulder, to get passwords, PINs and other sensitive personal information -- is a problem that has been difficult to overcome. When a user enters information using a keyboard, mouse, touch screen or any traditional input device, a malicious observer may be able to acquire the user's password credentials. We present EyePassword, a system that mitigates the issues of shoulder surfing via a novel approach to user input.

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Metadata

Authors
Kumar, M., Garfinkel, T., Boneh, D., & Winograd, T.
Venue
Proceedings of the 3rd symposium on Usable privacy and security
Publisher
ACM
Published
2007-07-18
Pages
13-19
OpenAlex
W2139094422
Cited by
309
References
24
FWCI
10.42
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: Reducing shoulder-surfing by using gaze-based password entry. https://app.cochat.ai/papers/10.1145/1280680.1280683
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Kumar, M., Garfinkel, T., Boneh, D., & Winograd, T. (2007). Reducing shoulder-surfing by using gaze-based password entry. Proceedings of the 3rd symposium on Usable privacy and security. https://doi.org/10.1145/1280680.1280683

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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.