Developing coercion detection solutions for biometrie security

P. Matthew, M. Anderson

Research output: Contribution to conferencePaper

2 Citations (Scopus)
122 Downloads (Pure)

Abstract

Biometric security depends on its accuracy and efficiency, but is especially vulnerable to spoof attacks. Currently liveness detection has become the standard method of reducing the impact of spoof attacks, however whilst this protects against spoof creation and presentation, it does nothing to detect legitimate users being coerced into accessing systems. This paper looks at this coercion concept, indicating the impact coercion could have on biometric security and how it can be detected. This paper will identify scenarios in which coercion detection could improve security as well as identifying the underlying concepts that make this area up, culminating in the presentation of four high level techniques which can be implemented within a multimodal biometric system to detect coercion detection.
Original languageEnglish
Pages1123-1130
DOIs
Publication statusE-pub ahead of print - 1 Sep 2016
EventSAI Computing Conference -
Duration: 13 Jul 201615 Jul 2016

Conference

ConferenceSAI Computing Conference
Period13/07/1615/07/16

Keywords

  • Authentication
  • Databases
  • Feature extraction
  • Force
  • Physiology
  • Stress
  • Affect testing
  • Biometric fusion
  • Biometric security
  • Coercion detection
  • Threat vector analysis

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  • Cite this

    Matthew, P., & Anderson, M. (2016). Developing coercion detection solutions for biometrie security. 1123-1130. Paper presented at SAI Computing Conference, . https://doi.org/10.1109/SAI.2016.7556118