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Metadata filtering for user-friendly centralized biometric authentication

Gehrmann, Christian LU ; Rodan, Marcus LU and Jönsson, Niklas (2019) In EURASIP Journal on Information Security 2019(1).
Abstract
While biometric authentication for commercial use so far mainly has been used for local device unlock use cases, there are great opportunities for using it also for central authentication such as for remote login. However, many current biometric sensors like for instance mobile fingerprint sensors have too large false acceptance rate (FAR) not allowing them, for security reasons, to be used in larger user group for central identification purposes. A straightforward way to avoid this FAR problem is to either request a user unique identifier such as a device identifier or require the user to enter a unique user ID prior to making the biometric matching. Usage of a device identifier does not work when a user desires to authenticate on a... (More)
While biometric authentication for commercial use so far mainly has been used for local device unlock use cases, there are great opportunities for using it also for central authentication such as for remote login. However, many current biometric sensors like for instance mobile fingerprint sensors have too large false acceptance rate (FAR) not allowing them, for security reasons, to be used in larger user group for central identification purposes. A straightforward way to avoid this FAR problem is to either request a user unique identifier such as a device identifier or require the user to enter a unique user ID prior to making the biometric matching. Usage of a device identifier does not work when a user desires to authenticate on a previously unused device of a generic type. Furthermore, requiring the user at each login occasion to enter a unique user ID, is not at all user-friendly. To avoid this problem, we in this paper investigate an alternative, most user-friendly approach, for identification in combination with biometric-based authentication using metadata filtering. An evaluation of the adopted approach is carried out using realistic simulations of the Swedish population to assess the feasibility of the proposed system. The results show that metadata filtering in combination with traditional biometric-based matching is indeed a powerful tool for providing reliable, and user-friendly, central authentication services for large user groups. (Less)
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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Biometric authentication, Metadata filtering, System simulation
in
EURASIP Journal on Information Security
volume
2019
issue
1
pages
17 pages
publisher
Springer Open
external identifiers
  • scopus:85066958776
ISSN
2510-523X
DOI
10.1186/s13635-019-0093-3
language
English
LU publication?
yes
id
5ab93dce-1043-48d7-8faa-092043108a34
date added to LUP
2019-06-11 15:11:59
date last changed
2019-07-16 04:11:11
@article{5ab93dce-1043-48d7-8faa-092043108a34,
  abstract     = {While biometric authentication for commercial use so far mainly has been used for local device unlock use cases, there are great opportunities for using it also for central authentication such as for remote login. However, many current biometric sensors like for instance mobile fingerprint sensors have too large false acceptance rate (FAR) not allowing them, for security reasons, to be used in larger user group for central identification purposes. A straightforward way to avoid this FAR problem is to either request a user unique identifier such as a device identifier or require the user to enter a unique user ID prior to making the biometric matching. Usage of a device identifier does not work when a user desires to authenticate on a previously unused device of a generic type. Furthermore, requiring the user at each login occasion to enter a unique user ID, is not at all user-friendly. To avoid this problem, we in this paper investigate an alternative, most user-friendly approach, for identification in combination with biometric-based authentication using metadata filtering. An evaluation of the adopted approach is carried out using realistic simulations of the Swedish population to assess the feasibility of the proposed system. The results show that metadata filtering in combination with traditional biometric-based matching is indeed a powerful tool for providing reliable, and user-friendly, central authentication services for large user groups.},
  articleno    = {7},
  author       = {Gehrmann, Christian and Rodan, Marcus and Jönsson, Niklas},
  issn         = {2510-523X},
  keyword      = {Biometric authentication,Metadata filtering,System simulation},
  language     = {eng},
  month        = {06},
  number       = {1},
  pages        = {17},
  publisher    = {Springer Open},
  series       = {EURASIP Journal on Information Security},
  title        = {Metadata filtering for user-friendly centralized biometric authentication},
  url          = {http://dx.doi.org/10.1186/s13635-019-0093-3},
  volume       = {2019},
  year         = {2019},
}