Developing coercion detection solutions for biometrie security

P. Matthew, M. Anderson

Research output: Contribution to conferencePaperpeer-review

6 Citations (Scopus)
268 Downloads (Pure)


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
Publication statusE-pub ahead of print - 1 Sept 2016
EventSAI Computing Conference -
Duration: 13 Jul 201615 Jul 2016


ConferenceSAI Computing Conference


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


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