Abstract
We show that there is a direct relation between the maximum length
of the keys extracted from biometric data and the error rates of the
biometric system. The length of the bio-key depends on the amount
of information that can be extracted from the source data. This information
can be used a-priori to evaluate the potential of the biometric
data in the context of a specific cryptographic application.
We model the biometric data more naturally as a continuous distribution
and we give a new definition for fuzzy extractors that works
better for this type of data.
| Original language | Undefined |
|---|---|
| Title of host publication | Proceedings of the 2nd ACM Symposium on Information, Computer and Communications Security (ASIACCS) |
| Editors | R. Deng, P. Samarati |
| Place of Publication | New York |
| Publisher | Association for Computing Machinery |
| Pages | 353-355 |
| Number of pages | 3 |
| ISBN (Print) | 1-59593-574-6 |
| DOIs | |
| Publication status | Published - Mar 2007 |
| Event | 2nd ACM Symposium on Information, Computer and Communications Security, ASIACCS 2007 - Singapore, Singapore Duration: 20 Mar 2007 → 22 Mar 2007 Conference number: 2 |
Publication series
| Name | |
|---|---|
| Number | 2 |
Conference
| Conference | 2nd ACM Symposium on Information, Computer and Communications Security, ASIACCS 2007 |
|---|---|
| Abbreviated title | ASIACCS |
| Country/Territory | Singapore |
| City | Singapore |
| Period | 20/03/07 → 22/03/07 |
Keywords
- EWI-9642
- SCS-Safety
- IR-59970
- METIS-241571
- SCS-Cybersecurity
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