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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:
Peer reviewed

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

Authors


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Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Research group:
Cyber Security Centre
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Research group:
Cyber Security Centre
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Research group:
Cyber Security Centre
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Research group:
Cyber Security Centre
Role:
Author
Publisher:
Springer International Publishing Publisher's website
Host title:
Human Aspects of Information Security, Privacy, and Trust : Third International Conference, HAS 2015, Held as Part of HCI International 2015, Los Angeles, CA, USA, August 2-7, 2015. Proceedings
Series:
Lecture Notes in Computer Science
Series number:
9190
Pages:
23-35
Publication date:
2015-07-21
Event title:
HAS 2015: Human Aspects of Information Security, Privacy, and Trust
Event location:
Los Angeles, CA, USA
Event website:
http://2015.hci.international/has
Event start date:
2015-08-02
Event end date:
2015-08-07
DOI:
ISSN:
0302-9743
EISBN:
978-3-319-20376-8
ISBN:
978-3-319-20375-1
Language:
English
Keywords:
Subjects:
UUID:
uuid:06719a1d-814d-4be2-8383-ca1dd114295d
Local pid:
ora:10471
Deposit date:
2015-03-09

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