Nowadays, electronic medical records are increasing rapidly. Electronic medical records consist of sensitive and confidential information. These pieces of information need to be protected from attackers during the exchange with patients. Blockchain technology can protect information from attackers during the exchange of information. There are various classical techniques to protect electronic medical records. These techniques can exchange information correctly but cannot resist collective and coherent attacks and have more communication and computation costs. In this article, we introduced a privacy-preserving quantum blockchain technique to protect electronic medical records. This technique can resist the intercept, intercept-resend, entangle-measure, man-in-the-middle, collective, and coherent attacks with less communication and computation costs.
Nowadays, electronic medical records are increasing rapidly. Electronic medical records consist of sensitive and confidential information. These pieces of information need to be protected from attackers during the exchange with patients. Blockchain technology can protect information from attackers during the exchange of information. There are various classical techniques to protect electronic medical records. These techniques can exchange information correctly but cannot resist collective and coherent attacks and have more communication and computation costs. In this article, we introduced a privacy-preserving quantum blockchain technique to protect electronic medical records. This technique can resist the intercept, intercept-resend, entangle-measure, man-in-the-middle, collective, and coherent attacks with less communication and computation costs.
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.
Electronic medical information is becoming increasingly popular. Electronic medical information includes sensitive and private information. The medical information must be protected from intruders during the communication with patients. During the exchange of information, blockchain technology can secure information from intruders. There are several traditional methods for protecting electronic medical information. These approaches can communicate data accurately but are vulnerable to collective and coherent attacks. These protocols also require higher communication and computation costs. This study proposes a Lightweight Quantum Blockchain-based Framework to safeguard patient medical information across multiple hospitals. This framework can withstand quantum computer attacks. Additionally, the proposed protocol requires less communication and computation costs as compared to the existing protocols.
A substantial spike in the need for quality healthcare has resulted from people being more cognizant of health issues. With blockchain, healthcare providers may safely share patient information electronically, which is especially important given the sensitive nature of the data contained inside them. However, flaws in the current blockchain design have surfaced since the dawn of quantum computing systems. The study proposes a novel quantum inspired blockchain system (Qchain) and constructs a unique entangled quantum medical record (EQMR)system with an emphasis on privacy and security. This Qchain relies on entangled states to connect its blocks. Automated production of the chronology indicator reduces storage capacity requirements by connecting entangled BloQ (blocks with quantum properties) with controlled activities. One qubit is used to store the hash value of each block. A lot of information regarding quantum internet is included in the protocol for the entangled quantum medical record (EQMR). EQMR can be accessed in Medical Internet of Things (M-IoT) systems may be kept private and secure, and their where-abouts can be monitored in the event of an emergency. The protocol also uses quantum authentication in place of more conventional methods like encryption and digital signatures. Mathematical research shows that the quantum converged blockchain (QCB) is highly safe against attacks such as the External attack, Intercept-Measure-Repeat attack, and Entanglement-Measure attack. The reliability and auditability evaluations of the entangled BloQ, as well as the quantum circuit design for computing the hash value, are presented. There's also a comparison between the suggested approach and several other quantum blockchain designs.
Security and privacy are issues that cannot be ignored when collecting and processing medical data in the Internet of Medical Things (IoMT). The blockchain technology is a decentralized ledger system that has diverse application scenarios in the medical field. The blockchain technology relies on traditional cryptography to ensure data integrity and verifiability, but the creation of quantum computing has made it possible to break traditional encryption and signature methods. Therefore, quantum blockchain can provide a higher level of security for handling medical data. This article innovatively designs a new medical data processing system based on quantum blockchain (QB-IMD). In QB-IMD, a quantum blockchain structure and a novel electronic medical record algorithm (QEMR) are proposed to ensure that the processed data is legitimate and tamper-proof. QEMR combines quantum signature and quantum identity authentication to avoid the potential security risks of digital signatures. In addition, through delegated computing by quantum cloud, medical diagnostic data can be computed without leaking to quantum cloud servers, thus protecting user privacy. Through mathematical proof, theoretical analysis, and simulation, it is demonstrated that our scheme can resist six attacks and is feasible to protect user privacy.
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.
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.