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Trust and Voice Biometrics Authentication for Internet of Things

Author

Listed:
  • Alec Wells

    (York St. John University, UK)

  • Aminu Bello Usman

    (York St. John University, UK)

Abstract

In recent years, IoT adoption has been higher, and this causes lots of security concerns. One of the fundamental security concerns in IoT adoption is the question, “Are you who you say you are?” Thus, authentication forms the gateway for a secure communication system with IoT. So far, the human voice is one of the most natural, non-intrusive, and convenient behavioural biometric factors compared to other biometric authentication methods. Despite the non-intrusive characteristics of voice as a biometric authentication factor when accessing IoT technologies, there is a concern of a general societal trust and distrust with IoT technology and the risk of theft of users' data and imitation. This study derived a realistic trust evaluation model that incorporates privacy, reliability, security, usability, safety, and availability factors into a trust vector for a flexible measurement of trust in the user accessing IoT technologies.

Suggested Citation

  • Alec Wells & Aminu Bello Usman, 2023. "Trust and Voice Biometrics Authentication for Internet of Things," International Journal of Information Security and Privacy (IJISP), IGI Global, vol. 17(1), pages 1-28, January.
    • Handle: RePEc:igg:jisp00:v:17:y:2023:i:1:p:1-28
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    References listed on IDEAS

    as
    1. Graham Dietz, 2011. "Going back to the source: Why do people trust each other?," Journal of Trust Research, Taylor & Francis Journals, vol. 1(2), pages 215-222, June.
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