Abstract The integration of quantum-enhanced blockchain and digital twin technologies offers a potent solution for advancing healthcare data security, particularly in ensuring the integrity and confidentiality of medical records. This paper presents a comprehensive framework that leverages quantum computing principles to enhance the security of blockchain networks, while digital twins are utilized for securely managing and accessing medical records. The proposed Quantum-Enhanced Blockchain Architecture employs quantum key distribution protocols and lattice-based cryptography to protect against quantum attacks, ensuring a secure and scalable decentralized system. The Digital Twin Framework for Medical Record Confidentiality integrates encryption and access control mechanisms to safeguard patient data. A novel Healthcare Encryption Algorithm (HEA) is proposed for encrypting and decrypting data in the digital twin, ensuring confidentiality and privacy. Furthermore, the Quantum-Enhanced Blockchain and Digital Twin Integration Process (QBDTIP) outlines the steps involved in securely managing medical records using these technologies. Experimental results demonstrate the system's robustness against cyber-attacks, scalability, interoperability, and effectiveness in ensuring data integrity and confidentiality. Overall, this research highlights the transformative potential of integrating quantum-enhanced blockchain and digital twin technologies for enhancing healthcare data security.
Abstract The integration of quantum-enhanced blockchain and digital twin technologies offers a potent solution for advancing healthcare data security, particularly in ensuring the integrity and confidentiality of medical records. This paper presents a comprehensive framework that leverages quantum computing principles to enhance the security of blockchain networks, while digital twins are utilized for securely managing and accessing medical records. The proposed Quantum-Enhanced Blockchain Architecture employs quantum key distribution protocols and lattice-based cryptography to protect against quantum attacks, ensuring a secure and scalable decentralized system. The Digital Twin Framework for Medical Record Confidentiality integrates encryption and access control mechanisms to safeguard patient data. A novel Healthcare Encryption Algorithm (HEA) is proposed for encrypting and decrypting data in the digital twin, ensuring confidentiality and privacy. Furthermore, the Quantum-Enhanced Blockchain and Digital Twin Integration Process (QBDTIP) outlines the steps involved in securely managing medical records using these technologies. Experimental results demonstrate the system's robustness against cyber-attacks, scalability, interoperability, and effectiveness in ensuring data integrity and confidentiality. Overall, this research highlights the transformative potential of integrating quantum-enhanced blockchain and digital twin technologies for enhancing healthcare data security.
The integration of blockchain technology in electronic medical records (EMRs) offers enhanced data security and integrity. However, classical blockchain systems face potential threats from quantum computing and often involve significant computation and communication costs. This paper proposes a secure framework for safeguarding EMRs using quantum blockchain technology, leveraging quantum cryptographic principles to enhance security. The proposed framework employs Quantum Key Distribution (QKD) and post-quantum cryptographic algorithms to resist quantum attacks, ensuring robust protection of sensitive data. By optimizing consensus mechanisms with quantum algorithms, with this research work, a 30% reduction in computation costs and a 25% decrease in communication overhead is achieved compared to traditional blockchain systems. These improvements are quantified through simulation results, demonstrating the framework’s efficiency and practicality. The proposed solution ensures higher security, integrity, and cost-effectiveness for managing EMRs in the face of emerging quantum threats.
The integration of consumer-centric digital twin (CCDT) technology is set to transform healthcare systems, enabling blockchain-based solutions for enhanced medical services. By precisely simulating patients and medical processes, CCDT establish a link to the virtual healthcare environment, supporting improved diagnosis, real-time monitoring, and predictive analytics. Blockchain technology is critical in connecting the physical and virtual health care worlds, providing secure storage, efficient communication, reduced computational costs, and reliable hosting services. However, the security of patient data and its digital twin counterpart stored on the blockchain remains a potential vulnerability, as any alteration or unauthorized access to this information could pose significant risks. To address this challenge, we propose a blockchain-enabled quantum encryption protocol for CCDT healthcare networks to ensure secure communication. The proposed protocol leverages blockchain to authenticate patients without relying on third-party entities. At the same time, a secure quantum encryption mechanism ensures that CCDT do not need to authenticate repeatedly when interacting with multiple healthcare providers. A performance evaluation demonstrates the effectiveness of the proposed scheme compared to existing encryption methods. The results indicate that the suggested protocol is resilient against various security threats, showcasing its significant potential for enhancing communication security within CCDT healthcare networks.
Background and Aims: Rising quantum hazards and flaws in conventional encryption make cloud-based healthcare data security harder. Quantum-Secure HealthChain, a new architecture using blockchain and quantum computing, improves medical data security, patient privacy, and data fidelity. Methods: To prevent quantum attacks, the proposed system uses Quantum Key Distribution (QKD) for safe cryptographic key exchange and quantum-resistant encryption. Blockchain technology secures medical records, while multi-layered encryption ensures data privacy. Quantum Biometric Authentication improves access control using quantum entanglement and biometric data. Key generation, encryption, blockchain storage, authentication, and decryption are system process steps. Experimental evaluation focuses on encryption speed, resource economy, throughput, and scalability using simulated healthcare data. Results: Experimental data demonstrate system strength and efficiency. Encryption and decryption perform consistently for 1 to 100 MB data sizes with negligible overhead. Throughput can reach 105 transactions per second under normal demand; CPU (82%) and memory (210 MB) utilization are low. Scalability studies show linear expansion lets the system handle increased data volumes and user demands without sacrificing performance. Security study confirms quantum attack, data corruption, and unauthorized access resistance. Conclusion: Quantum-Secure HealthChain offers a revolutionary method to cloud-based healthcare system security. Blockchain-quantum computing integration ensures strong authentication, safe key exchange, and quantum-resistant encryption. Its security, scalability, and efficiency make it a future-ready platform for safe medical data management, reducing quantum computing hazards.
Healthcare systems are increasingly data-driven through EHRs, telemedicine, and IoT-based medical devices. However, cyber threats, poor interoperability, and data tampering expose the vulnerabilities of centralized systems. Blockchain offers immutability and transparency, yet its traditional cryptography faces risks from quantum computing, which can compromise existing encryption. To address this, the chapter proposes a quantum-enhanced blockchain framework integrating post-quantum cryptography (PQC), quantum key distribution (QKD), and hybrid quantum-classical consensus. The model strengthens confidentiality, integrity, and availability (CIA) of healthcare data while ensuring interoperability and regulatory compliance. Key applications include secure EHR and genomic data management, automated patient consent handling, transparent drug supply chain monitoring, and protection of clinical research. The chapter also discusses ethical, technical, and regulatory challenges, offering insights into building resilient, quantum-secure healthcare ecosystems.
Healthcare data management has undergone a transformation through digital advancements which emerged from clinical research databases, pharmaceutical supply chains, electronic health records (EHRs), and patient consent systems. Quantum computing systems that execute Shor's algorithm to break down RSA and ECC cryptographic systems will join the list of cyber threats which currently includes ransomware and insider attacks. The blockchain system provides a transparent decentralized ledger with permanent records that protects data integrity and traceability. Its ability to scale and defend against quantum attacks remains limited. The proposed multi-layered solution in this chapter combines blockchain technology with approximate quantum cloning and privacy-preserving machine learning (ML) to enhance healthcare data security, redundancy, and analytics capabilities. By addressing quantum threats and regulatory requirements, this framework fosters a resilient, patient-centric healthcare ecosystem, with future research focusing on scalability and quantum hardware integration.
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.