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Predicting graphical passwords

Abstract:

Over the last decade, the popularity of graphical passwords has increased tremendously. They can now be found on various devices and systems, including platforms such as the Windows 8 and Android operating systems. In this paper, we focus on the PassPoints graphical password scheme and investigate the extent to which these passwords might be predicted based on knowledge of the individual (e.g., their age, gender, education, learning style). We are particularly interested in understanding whet...

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Publication status:
Published
Peer review status:
Reviewed (other)
Version:
Accepted Manuscript

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Publisher copy:
10.1007/978-3-319-20376-8_3

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Institution:
University of Oxford
Research group:
Cyber Security Centre
Department:
Mathematical,Physical & Life Sciences Division - Computer Science,Department of
Role:
Author
More by this author
Institution:
University of Oxford
Research group:
Cyber Security Centre
Department:
Mathematical,Physical & Life Sciences Division - Computer Science,Department of
Role:
Author
More by this author
Institution:
University of Oxford
Research group:
Cyber Security Centre
Department:
Mathematical,Physical & Life Sciences Division - Computer Science,Department of
Role:
Author
More by this author
Institution:
University of Oxford
Research group:
Cyber Security Centre
Department:
Mathematical,Physical & Life Sciences Division - Computer Science,Department of
Role:
Author
Publisher:
Springer International Publishing Publisher's website
Volume:
9190
Pages:
23-35
Publication date:
2015-01-01
DOI:
ISSN:
0302-9743
URN:
uuid:06719a1d-814d-4be2-8383-ca1dd114295d
Local pid:
ora:10471
ISBN:
978-3-319-20376-8

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