Abstract :

The Exponential Growth Of Quantum Computing Technology Presents A Critical Challenge To Traditional Cryptographic Systems That Safeguard Sensitive Information, Especially In The Healthcare Sector Where The Security And Privacy Of Patient Data Are Paramount. Conventional Blockchain Architectures, Widely Recognized For Their Decentralized, Immutable, And Transparent Nature, Rely Heavily On Cryptographic Algorithms Such As RSA And ECC, Which Are Vulnerable To Attacks From Powerful Quantum Computers. This Vulnerability Threatens The Integrity, Confidentiality, And Availability Of Electronic Health Records (EHRs) Stored And Shared Across Blockchain Networks. To Address These Emerging Risks, This Project Proposes A Novel Quantumresistant Blockchain Framework Specifically Designed To Protect Health Data Against Future Quantum Attacks. By Incorporating Advanced Quantum-safe Cryptographic Techniques—such As Lattice-based Cryptography, Hash-based Signatures, And Multivariate Polynomial Cryptography—this Blockchain System Ensures That Data Transactions Remain Secure Even When Faced With Adversaries Equipped With Quantum Capabilities. The Framework Supports Secure And Transparent Sharing Of Patient Information Among Authorized Healthcare Providers While Maintaining Strict Compliance With Regulatory Standards Like HIPAA And GDPR Through Programmable Smart Contracts That Manage Consent And Access Control. Additionally, The Decentralized Nature Of The Blockchain Eliminates Single Points Of Failure And Reduces Risks Related To Data Tampering Or Unauthorized Access. This Quantumresistant Blockchain Not Only Strengthens The Security Posture Of Healthcare Data Systems But Also Enhances Interoperability, Scalability, And Patient Trust, Facilitating More Efficient Medical Research, Diagnosis, And Treatment. By Future-proofing Health Data Infrastructure Against The Looming Threat Of Quantum Decryption, This Approach Represents A Significant Advancement In Ensuring Long-term Confidentiality And Integrity Of Medical Information In The Evolving Landscape Of Digital Health Technologies.

Published:

27-3-2026

Issue:

Vol. 26 No. 3 (2026)

Page Nos:

777-782

Section:

Articles

License:

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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