Conference item
Evaluating behavioral biometrics for continuous authentication: challenges and metrics
- Abstract:
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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:
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(Accepted manuscript, pdf, 780.7KB)
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- Publisher copy:
- 10.1145/3052973.3053032
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Authors
Bibliographic Details
- 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:
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679972
Item Description
- Pubs id:
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pubs:679972
- UUID:
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uuid:126411b1-2e76-4a00-8fdc-4c6bf5dacb90
- Local pid:
- pubs:679972
- Deposit date:
- 2017-02-14
Terms of use
- Copyright holder:
- © 2017 Copyright held by the owner/author(s) Publication rights licensed to ACM
- Copyright date:
- 2017
- Notes:
- © 2017 Copyright held by the owner/author(s). Publication rights licensed to ACM. This Conference Item is to be presented at the ASIA CCS ’17, April 02 - 06, 2017, Abu Dhabi, United Arab Emirates
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