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Evaluating behavioral biometrics for continuous authentication: challenges and metrics

Abstract:

In recent years, behavioral biometrics have become a popular approach to support continuous authentication systems. Most generally, a continuous authentication system can make two types of errors: false rejects and false accepts. Based on this, the most commonly reported metrics to evaluate systems are the False Reject Rate (FRR) and False Accept Rate (FAR). However, most papers only report the mean of these measures with little attention paid to their distribution. This is problematic as sys...

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Publication status:
Published

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Files:
  • (Accepted manuscript, pdf, 780.7KB)
Publisher copy:
10.1145/3052973.3053032

Authors


More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Role:
Author
Publisher:
Association for Computing Machinery Publisher's website
Journal:
Association for Computing Machinery, asiaccs2017 Journal website
Host title:
ASIA CCS ’17, Abu Dhabi, United Arab Emirates, April 02 - 06, 2017
Publication date:
2017-04-02
Acceptance date:
2017-02-13
DOI:
Source identifiers:
679972
Pubs id:
pubs:679972
UUID:
uuid:126411b1-2e76-4a00-8fdc-4c6bf5dacb90
Local pid:
pubs:679972
Deposit date:
2017-02-14

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