- 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...
Expand abstract - Publication status:
- Published
- Version:
- Accepted manuscript
- Files:
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(pdf, 780.7KB)
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- Publisher copy:
- 10.1145/3052973.3053032
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- Publisher:
- Association for Computing Machinery Publisher's website
- Publication date:
- 2017-04-02
- Acceptance date:
- 2017-02-13
- DOI:
- Pubs id:
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pubs:679972
- URN:
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uri:126411b1-2e76-4a00-8fdc-4c6bf5dacb90
- UUID:
-
uuid:126411b1-2e76-4a00-8fdc-4c6bf5dacb90
- Local pid:
- pubs:679972
- ISBN:
- 978-1-4503-4944-4/17/04
- Copyright holder:
- © 2017 Copyright held by the owner/author(s). Publication rights licensed to ACM.
- Copyright date:
- 2017
- Notes:
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© 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
Conference item
Evaluating behavioral biometrics for continuous authentication: challenges and metrics
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