ABSTRACT The development of digital twin (DT) systems for healthcare presents several challenges, particularly in ensuring data protection and communication security in real‐time environments. The protection of patient information in the case of future quantum‐powered attacks is one of the key issues, with traditional public‐key cryptography tools being likely to be weakened in the context of the huge quantum computers. The objective of this research was to come up with a quantum‐resistant security system to DT‐based remote healthcare monitoring. With quantum‐safe session key establishment with QKD or lattice‐based postquantum interactions, along with symmetric authenticated encryption, secure far‐edge, near‐edge and cloud data transfer and processing was guaranteed. The results revealed a 40% reduction in latency, a 30% improvement in throughput and a 15% increase in system efficiency, demonstrating substantial enhancements in performance. The integration of quantum‐resistant protocols provided robust protection without compromising system operation, achieving a 25.77% improvement in computational efficiency. The proposed framework significantly enhances the security, scalability and performance of remote healthcare systems, offering a future‐proof solution against quantum computing threats.
ABSTRACT The development of digital twin (DT) systems for healthcare presents several challenges, particularly in ensuring data protection and communication security in real‐time environments. The protection of patient information in the case of future quantum‐powered attacks is one of the key issues, with traditional public‐key cryptography tools being likely to be weakened in the context of the huge quantum computers. The objective of this research was to come up with a quantum‐resistant security system to DT‐based remote healthcare monitoring. With quantum‐safe session key establishment with QKD or lattice‐based postquantum interactions, along with symmetric authenticated encryption, secure far‐edge, near‐edge and cloud data transfer and processing was guaranteed. The results revealed a 40% reduction in latency, a 30% improvement in throughput and a 15% increase in system efficiency, demonstrating substantial enhancements in performance. The integration of quantum‐resistant protocols provided robust protection without compromising system operation, achieving a 25.77% improvement in computational efficiency. The proposed framework significantly enhances the security, scalability and performance of remote healthcare systems, offering a future‐proof solution against quantum computing threats.
Digital Twins (DTs) play a crucial role in context-aware Internet of Things (IoT) applications within the healthcare sector, including the industrial healthcare domain, by facilitating the continuous sharing of sensitive and confidential patient data from physical objects in real time. This shared data is essential for treatment planning and decision-making processes, often being accessed remotely by authorized users. However, traditional security mechanisms, which rely on the integer factorization problem (IFP) and the elliptic curve discrete logarithm problem (ECDLP), are vulnerable to quantum attacks using algorithms like Shor's, posing significant risks to data protection. As a result, the healthcare sector faces several security challenges, including the vulnerability of sensitive patient data to cyberattacks, quantum threats, the risk of unauthorized access to medical devices and IoT systems, and the increasing sophistication of cybercriminals exploiting weak authentication methods. To address these issues, we propose a quantum-resistant protocol that safeguards data privacy in DT-enabled IoT healthcare applications, ensures secure transmission of information, maintains patient trust, supports long-term data confidentiality, and protects medical devices and IoT systems from potential breaches. By employing lattice-based cryptographic techniques, particularly the ring learning with errors (RLWE) problem, the proposed scheme effectively addresses contemporary security challenges, including those posed by quantum computing. Real-time experiments conducted on Raspberry Pi 4 devices, along with computational overhead analysis, demonstrate the protocol's efficiency. Additionally, formal security validation using the Scyther tool and security analysis with the RoR model reinforce the robustness of the proposed protocol. A comprehensive comparative evaluation against existing schemes highlights its lightweight, scalable, and efficient nature. Furthermore, performance evaluations in the context of unknown attacks show that the proposed scheme significantly outperforms current alternatives in terms of effectiveness.
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 growing complexity of healthcare systems requires advanced computational models for real-time monitoring, secure data exchange, and intelligent decision-making. Digital Twins (DTs) provide virtual representations of physical healthcare entities, enabling continuous patient monitoring and personalized care. However, classical DT frameworks face limitations in scalability, computational efficiency, and security. Recent studies have introduced Quantum Digital Twins (QDTs) to enhance performance through quantum computing, addressing challenges such as quantum-resistant security and efficient task offloading in healthcare environments. Despite these advances, most existing QDT models remain constrained by fundamental challenges related to quantum hardware limitations, hybrid classical-quantum system integration, cloud-based quantum access, scalability, and clinical trust. This paper provides a comprehensive review of QDTs for healthcare, with a particular focus on identifying and analyzing the key challenges that currently hinder their real-world adoption. Furthermore, it outlines critical research directions and enabling strategies aimed at advancing the development of secure, reliable, and clinically viable quantum digital twin systems for next-generation healthcare applications.
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.
Using quantum cryptography can significantly support cybersecurity in healthcare, paving the way for safer digital environments. As the sector evolves, ongoing research and innovation in quantum technologies will be essential for ensuring the confidentiality and integrity of patient information, ultimately enhancing the quality of care delivered in an increasingly interconnected world. The chapter explores the evolution of quantum cryptography to strengthen cybersecurity in the healthcare sector. As reliance on digital technology increases, protecting sensitive patient information becomes more important. Quantum cryptography offers a new way to create secure communication using the principles of quantum mechanics. These briefs highlight the critical need for security measures that can prevent devastating cyber threats. The second section describes the role of quantum algorithms, particularly quantum key distribution (QKD) and quantum-resistant algorithms. QKD allows encryption keys to be exchanged securely, ensuring that any eavesdropping attempts are detected, thus preserving the integrity of communications. Quantum-resistant algorithms have also been designed to prevent quantum computer attacks that could compromise cryptographic systems. By integrating these technologies, healthcare organizations can reduce the negative impacts associated with traditional processes and protect patient information from unauthorized access to interventions and research reports. As these technologies continue to mature, their integration with healthcare systems provides an opportunity to build trust and cost-effectiveness in these digital health solutions. This integration not only increases data security but also supports the development of AI applications that can analyze large amounts of medical data. The digital environment is more secure. As the industry evolves, continued research and innovation in quantum technology will be necessary to ensure the confidentiality and integrity of patient data and ultimately improve the quality of care in an ever-changing world.