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A Secure Bio-Hash–Based Multiparty Mutual Authentication Protocol for Remote Health Monitoring Applications

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Advances in Cybersecurity Management

Abstract

Remote health monitoring can benefit a large number of stake holders in healthcare industry, and it has the potential to make healthcare facilities available to a large number of masses at a reduced cost. Wireless Body Area networks (WBAN) comprising of sensors, capable of capturing and transferring physiological parameters of patients, provide an efficient and cost-effective solution for remote health monitoring. Data security is one among the major concerns preventing the widespread adoption of this technology by patients and healthcare sector. This chapter on remote health monitoring, presents a biometric-based authentication protocol. The work also proposes a multiparty mutual authentication protocol for authenticating the entities, such as users, sensors, personal devices, and medical gateway, participating in a WBAN. In the proposed protocol, a verifier table is not required to store the password of users. Formal security analysis and verification of the discussed protocols are performed using Scyther tool, and the results reveal that the protocols are resistant to privileged-administrator resilience attack, man-in-the-middle attack, replay attack, and impersonation attack.

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Authors and Affiliations

  1. Christ University, Pune Lavasa Campus, Lavasa, Maharashtra, India

    Sumitra Binu

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  1. Sumitra Binu
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Correspondence to Sumitra Binu .

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Editors and Affiliations

  1. University of Detroit Mercy, Detroit, MI, USA

    Kevin Daimi

  2. Ulster University, Newtownabbey, UK

    Cathryn Peoples

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Binu, S. (2021). A Secure Bio-Hash–Based Multiparty Mutual Authentication Protocol for Remote Health Monitoring Applications. In: Daimi, K., Peoples, C. (eds) Advances in Cybersecurity Management. Springer, Cham. https://doi.org/10.1007/978-3-030-71381-2_2

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  • DOI: https://doi.org/10.1007/978-3-030-71381-2_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-71380-5

  • Online ISBN: 978-3-030-71381-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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