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IoMT-BADT: A blockchain-envisioned secure architecture with a lightweight authentication scheme for the Digital Twin environment in the Internet of Medical Things

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Abstract

A healthcare-focused version of the Internet of Things (IoT), the Internet of Medical Things (IoMT) enables real-time monitoring and remote medical support via integrated medical devices, programs, and support solutions. However, patients’ safety and anonymity are in jeopardy by the open access networks employed in IoMT, which makes the systems susceptible to several threats and security lapses. By harnessing the synergies of blockchain, cloud computing, and digital twins, this study presents a comprehensive architecture and a secure lightweight authentication mechanism (which integrates the benefits offered by Yu and Park, Yu et al., and Amintoshi et al.) that addresses these concerns. The suggested method entails using session keys for secure communication while authenticating medical professionals and patients through a gateway. Cloud computing offers a flexible and robust framework for managing and storing medical data. Additionally, it simulates digital twins to enable data-driven decision-making and predictive analysis, and the incorporation of blockchain offers a decentralized and immutable ledger for recording and validating patient data and transaction logs enhancing data integrity, transparency, and traceability. Healthcare systems may confidently embrace the potential of IoMT by implementing this framework since it offers promising solutions to enhance the security and confidentiality of patient data in IoMT while supporting the provision of the best healthcare services, especially in emergency scenarios like the COVID-19 pandemic. The suggested approach is subjected to a thorough security evaluation using AVISPA, demonstrating its resistance to various attacks. A comparative analysis has also been carried out to assess the performance and computational cost of IoMT-BADT in comparison with other authentication schemes.

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Authors and Affiliations

  1. IT Department, Indira Gandhi Delhi Technical University for Women (IGDTUW), Delhi, India

    Ayushi Jain, Mehak Garg, Anvita Gupta, Shivangi Batra & Bhawna Narwal

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  1. Ayushi Jain
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  2. Mehak Garg
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  3. Anvita Gupta
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  4. Shivangi Batra
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  5. Bhawna Narwal
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Contributions

AJ involved in writing—original draft and prepared figures 1–2. MG involved in writing—original draft and prepared figures 3–6. AG involved in writing—original draft and prepared figures 7–8. SB involved in security analysis and comparative performance analysis. BN involved in conceptualization, writing—original draft, and supervision.

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Correspondence to Bhawna Narwal.

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We, the undersigned authors of the research paper titled “IoMT-BADT: A Blockchain-envisioned secure architecture with a lightweight authentication scheme for the Digital Twin environment in the Internet of Medical Things” voluntarily agree to participate in the associated research study. We understand the study’s purpose and procedures, and our participation is entirely voluntary.

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We, the undersigned authors of the research paper titled “IoMT-BADT: A Blockchain-envisioned secure architecture with a lightweight authentication scheme for the Digital Twin environment in the Internet of Medical Things” collectively grant permission for its publication in The Journal of Supercomputing. We affirm that the content is original, has not been submitted elsewhere. This consent encompasses all authors involved in the paper.

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Jain, A., Garg, M., Gupta, A. et al. IoMT-BADT: A blockchain-envisioned secure architecture with a lightweight authentication scheme for the Digital Twin environment in the Internet of Medical Things. J Supercomput 80, 16222–16253 (2024). https://doi.org/10.1007/s11227-024-06026-8

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