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Securing passfaces for description
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ACM International Conference Proceeding Series; Vol. 337 archive
Proceedings of the 4th symposium on Usable privacy and security table of contents
Pittsburgh, Pennsylvania
SESSION: Authentication I table of contents
Pages 24-35  
Year of Publication: 2008
ISBN:978-1-60558-276-4
Authors
Paul Dunphy  Newcastle University, Newcastle, UK
James Nicholson  Newcastle University, Newcastle, UK
Patrick Olivier  Newcastle University, Newcastle, UK
Publisher
ACM  New York, NY, USA
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ABSTRACT

One common practice in relation to alphanumeric passwords is to write them down or share them with a trusted friend or colleague. Graphical password schemes often claim the advantage that they are significantly more secure with respect to both verbal disclosure and writing down. We investigated the reality of this claim in relation to the Passfaces graphical password scheme. By collecting a corpus of naturalistic descriptions of a set of 45 faces, we explored participants' ability to associate descriptions with faces across three conditions in which the decoy faces were selected: (1) at random; (2) on the basis of their visual similarity to the target face; and (3) on the basis of the similarity of the verbal descriptions of the decoy faces to the target face. Participants were found to perform significantly worse when presented with visual and verbally grouped decoys, suggesting that Passfaces can be further secured for description. Subtle differences in both the nature of male and female descriptions, and male and female performance were also observed.


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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Collaborative Colleagues:
Paul Dunphy: colleagues
James Nicholson: colleagues
Patrick Olivier: colleagues