<p>The rapid expansion of the Internet of Medical Things (IoMT) has heightened concerns about the security of interconnected medical devices and patient data privacy. Authentication protocols are vital in IoMT, ensuring that entities verify their identities before data exchange to protect privacy and confidentiality. Recent advancements have focused on enhancing privacy and security within IoMT, emphasizing the need for robust solutions. In this paper, we propose a quantum-resilient mutual authentication protocol to preserve privacy between doctors and servers, utilizing Ring Learning with Errors (RLWE) and Boneh-Boyen signatures. Our protocol is validated using Scyther verification to ensure resilience against vulnerabilities and security attacks, thereby maintaining the integrity and confidentiality of sensitive data. Additionally, we confirm the correctness of the protocol's logic using BAN Logic. Performance evaluations demonstrate that our protocol is efficient, with lower computational and communication costs compared to existing solutions.</p>

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QRMA-IOMT: Quantum-resilient mutual authentication for IoMT using RLWE and Boneh-Boyen signatures

  • Yakubu Abdulai,
  • Maode Ma,
  • Hui Wang

摘要

The rapid expansion of the Internet of Medical Things (IoMT) has heightened concerns about the security of interconnected medical devices and patient data privacy. Authentication protocols are vital in IoMT, ensuring that entities verify their identities before data exchange to protect privacy and confidentiality. Recent advancements have focused on enhancing privacy and security within IoMT, emphasizing the need for robust solutions. In this paper, we propose a quantum-resilient mutual authentication protocol to preserve privacy between doctors and servers, utilizing Ring Learning with Errors (RLWE) and Boneh-Boyen signatures. Our protocol is validated using Scyther verification to ensure resilience against vulnerabilities and security attacks, thereby maintaining the integrity and confidentiality of sensitive data. Additionally, we confirm the correctness of the protocol's logic using BAN Logic. Performance evaluations demonstrate that our protocol is efficient, with lower computational and communication costs compared to existing solutions.