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Expanding the human-biometric sensor interaction model to identify claim scenarios

Expanding the human-biometric sensor interaction model to identify claim scenarios
Expanding the human-biometric sensor interaction model to identify claim scenarios
Biometric technologies represent a significant component of comprehensive digital identity solutions, and play an important role in crucial security tasks. These technologies support identification and authentication of individuals based on their physiological and behavioral characteristics. This has led many governmental agencies to choose biometrics as a supplement to existing identification schemes, most prominently ID cards and passports. Studies have shown that the success of biometric systems relies, in part, on how humans interact and accept such systems. In this paper, the authors build on previous work related to the Human-Biometric Sensor Interaction (HBSI) model and examine it with respect to the introduction of a token (e.g. an electronic passport or identity card) into the biometric system. The role of the imposter within an Identity Claim scenario has been integrated to expand the HBSI model into a full version, which is able to categorise potential False Claims and Attack Presentations.
biometrics, adaptation models, authentication, biological system modeling, fingerprint recognition, measurement, usability
IEEE
Elliott, Stephen J.
721dc55c-8c3e-4895-b9c4-82f62abd3567
O'Connor, Kevin
a549dc1e-c261-4f8c-b3f5-9ad41ef773c7
Bartlow, Eric
6ff4e782-f50f-4c8f-8133-8f00af127c8f
Robertson, Joshua J.
56e2ff17-c9e2-41d6-a320-eec05dfb1c11
Guest, Richard M.
93533dbd-b101-491b-83cc-39ccfdc18165
Elliott, Stephen J.
721dc55c-8c3e-4895-b9c4-82f62abd3567
O'Connor, Kevin
a549dc1e-c261-4f8c-b3f5-9ad41ef773c7
Bartlow, Eric
6ff4e782-f50f-4c8f-8133-8f00af127c8f
Robertson, Joshua J.
56e2ff17-c9e2-41d6-a320-eec05dfb1c11
Guest, Richard M.
93533dbd-b101-491b-83cc-39ccfdc18165

Elliott, Stephen J., O'Connor, Kevin, Bartlow, Eric, Robertson, Joshua J. and Guest, Richard M. (2015) Expanding the human-biometric sensor interaction model to identify claim scenarios. In IEEE International Conference on Identity, Security and Behavior Analysis (ISBA 2015). IEEE. 6 pp . (doi:10.1109/ISBA.2015.7126362).

Record type: Conference or Workshop Item (Paper)

Abstract

Biometric technologies represent a significant component of comprehensive digital identity solutions, and play an important role in crucial security tasks. These technologies support identification and authentication of individuals based on their physiological and behavioral characteristics. This has led many governmental agencies to choose biometrics as a supplement to existing identification schemes, most prominently ID cards and passports. Studies have shown that the success of biometric systems relies, in part, on how humans interact and accept such systems. In this paper, the authors build on previous work related to the Human-Biometric Sensor Interaction (HBSI) model and examine it with respect to the introduction of a token (e.g. an electronic passport or identity card) into the biometric system. The role of the imposter within an Identity Claim scenario has been integrated to expand the HBSI model into a full version, which is able to categorise potential False Claims and Attack Presentations.

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More information

e-pub ahead of print date: 27 July 2015
Venue - Dates: 2015 International Conference on Identity, Security, and Behavior Analysis, Hong Kong, 2015-03-23 - 2015-03-25
Keywords: biometrics, adaptation models, authentication, biological system modeling, fingerprint recognition, measurement, usability

Identifiers

Local EPrints ID: 489719
URI: http://eprints.soton.ac.uk/id/eprint/489719
PURE UUID: f027bb26-b2ef-41db-9d32-244ae8d985f1
ORCID for Joshua J. Robertson: ORCID iD orcid.org/0000-0003-3952-754X
ORCID for Richard M. Guest: ORCID iD orcid.org/0000-0001-7535-7336

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Date deposited: 30 Apr 2024 17:04
Last modified: 04 Sep 2024 02:10

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Contributors

Author: Kevin O'Connor
Author: Eric Bartlow
Author: Joshua J. Robertson ORCID iD
Author: Richard M. Guest ORCID iD

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