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Journal article

Analysis of reflexive eye movements for fast replay-resistant biometric authentication

Abstract:

Eye tracking devices have recently become increasingly popular as an interface between people and cons-umer-grade electronic devices. Due to the fact that human eyes are fast, responsive, and carry information unique to an individual, analyzing person’s gaze is particularly attractive for rapid biometric authentication. Unfortunately, previous proposals for gaze-based authentication systems either suffer from high error rates or requires long authentication times. We build on the fact that s...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1145/3281745

Authors


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Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Oxford college:
St Cross College
Role:
Author
More by this author
Institution:
University of Oxford
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Computer Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Computer Science
Role:
Author
More from this funder
Funding agency for:
Sluganovic, I
Grant:
doctoral studentship
More from this funder
Funding agency for:
Sluganovic, I
Grant:
doctoral studentship
More from this funder
Funding agency for:
Sluganovic, I
Grant:
doctoral studentship
Publisher:
Association for Computing Machinery Publisher's website
Journal:
ACM Transactions on Privacy and Security Journal website
Volume:
22
Issue:
1
Article number:
4
Publication date:
2018-11-16
Acceptance date:
2018-09-26
DOI:
EISSN:
2471-2574
ISSN:
2471-2566
Source identifiers:
929588
Keywords:
Pubs id:
pubs:929588
UUID:
uuid:4d97c9e0-5bcf-4fc2-81ca-c9072098f223
Local pid:
pubs:929588
Deposit date:
2018-10-19

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