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A Quantum-Resilient Blockchain Architecture for Long-Term Integrity and Secure Authentication of Connected Medical Device Data

Sai Doondi Kothapalli

Published Jan 1, 2026• 0 citations
Publisher
DOI
10.2139/ssrn.7414058

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The convergence of blockchain technology and the Internet of Medical Things (IoMT) significantly enhances data security and interoperability in healthcare systems. However, emerging quantum computing capabilities pose critical threats to conventional cryptographic algorithms underpinning blockchain security. Moreover, as IoMT devices manage sensitive patient data and perform essential healthcare functions, ensuring robust protection against both classical and quantum attacks has become increasingly urgent. To mitigate these risks, this paper introduces a Post-Quantum Cryptography Integration Framework (PQCIF), designed to protect blockchain-enabled IoMT (BIoMT) systems and infrastructures against classical and quantum attacks. PQ-CIF is a hybrid framework leveraging NIST-standardized post-quantum cryptographic (PQC) algorithms combined with conventional public-private key pair cryptography schemes, strategically integrating them within BIoMT architectures for robust long-term security. We provide comprehensive evaluation metrics and present a detailed case study demonstrating the efficacy and minimal overhead of our proposed framework in a simulated healthcare blockchain network.
The rapid advancement of quantum computing poses a significant threat to classical cryptographic methods used in blockchain-based healthcare systems. Existing security mechanisms such as RSA and ECC are vulnerable to quantum attacks, posing a risk to patient data integrity, confidentiality, and authentication mechanisms. To address this challenge, postquantum cryptographic (PQC) solutions, including lattice-based, hash-based, code-based, and multivariate polynomial-based techniques, have been proposed. This study systematically reviews and classifies PQC methods and their integration into blockchainbased healthcare infrastructures. A three-layer security model is discussed to enhance blockchain resilience against quantum attacks. The study further explores on-chain, off-chain, and crosschain security mechanisms within healthcare applications to ensure secure medical data storage, patient identity management, and interoperability among healthcare providers. The findings suggest that hybrid cryptographic models, combining classical and post-quantum techniques, provide a practical transition strategy for ensuring long-term security in blockchain networks. This research contributes to the field by offering a structured classification of quantum-resistant blockchain security mechanisms and providing insights into future research directions, particularly in the areas of quantum-safe healthcare data management, performance optimization of PQC methods, and the development of quantum-resistant smart contracts.