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.
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.
The emergence of Internet of Medical Things (IoMT) for medical data collection and pre-processing has raised concerns regarding the privacy and security of the data. For many years, the decentralized technology of blockchain has ensured that data is secure and protected from intruders. However, with the emergence of quantum computing, blockchain is vulnerable because it relies on traditional cryptography. Therefore quantum-based blockchain emerged as a solution, it provides more security and ensures data integrity. In this study, MedQNet, a quantum-based platform integrating Quantum-based blockchain to store medical records, and additionally a Quantum-based cloud processing is proposed for secure medical data processing while preserving user privacy. A quantum-aided convolutional neural network (QACNN) is employed to analyze and extract patterns from EEG signals for normal and seizure brain activity detection, demonstrating superior stability and accuracy under quantum noise. Furthermore, a hierarchical quantum mechanics-based framework processes EEG signals for feature extraction, followed by an improved hybrid QACNN with arbitrary nonlinear kernels for classification, achieving exponential speedup over classical methods. The analytical assessment confirms that the quantum ledger framework effectively resists various quantum-based risks, including external intrusions, entanglement-based assaults, and interception-measure-replay attacks. By combining the security strengths of quantum blockchain with the computational power of quantum machine learning, this integrated approach ensures reliable, high-performance processing of EEG signals in IoMT, advancing privacy-preserving performance that reaches up to 96.78% accuracy for healthcare solutions.
The rapid expansion of Internet of Medical Things (IoMT) networks has enabled continuous data collection from diverse medical sensors and devices, supporting real-time monitoring, diagnostics, and decision-making. However, the resource limitations of IoT nodes and the open nature of communication channels make healthcare data vulnerable to security and privacy breaches. To address these challenges, this paper presents a blockchain-assisted, privacy-preserving signature scheme leveraging Quantum Key Distribution (QKD) to ensure secure and trustworthy data sharing in Healthcare Internet of Things (H-IoT) environments. The proposed scheme integrates a quantum-designated verifier signature mechanism with a private blockchain infrastructure, where peer nodes validate and store healthcare data securely. Formal (software-based) and informal security analyses demonstrate the scheme's resistance to forgery, replay, and quantum attacks. Simulation experiments conducted in Python show that the proposed protocol achieves strong cryptographic performance, with a computational cost of 42.1ms and a communication overhead of 834 bits. Additionally, a blockchain-based prototype implementation quantifies the time required to append various numbers of blocks and process multiple healthcare transactions, confirming the scalability and practicality of the proposed solution. The results affirm that the scheme offers a reliable, efficient, and quantum-resilient framework for securing sensitive medical data across distributed IoMT healthcare systems.
The Internet of Medical Things (IoMT) is a compelling networking paradigm integrating wireless communications sensors, connected devices, and embedded computing technologies. The IoMT involves the collection of real-time health data using sophisticated medical sensors. In recent years, the IoMT has become increasingly significant within the broader context of the Internet of Things (IoT). It provides accessibility for health monitoring and poses security obstacles to safeguarding the confidentiality and privacy of patient data. Therefore, this article presents a blockchain-integrated quantum authentication scheme in sensor-assisted IoMT networks. The proposed concept utilizes blockchain technology to achieve efficient patient authentication without the need for third-party entities. In addition, a secure quantum authentication scheme is designed not to require patients to authenticate themselves when communicating with multiple doctors simultaneously. This protocol explicitly addresses how clinicians can misuse their professional roles toward patients in IoMT networks. An evaluation analysis assesses the proposed technique’s efficacy compared to existing authentication schemes. The performance analyses demonstrate that the proposed protocol is resilient against various security attacks. Also, the practical usability of the quantum authentication scheme proved its importance as a significant improvement in communication security for IoMT networks.
The convergence of 6G communication technologies and the Internet of Medical Things (IoMT) has revolutionized modern healthcare by enabling real-time monitoring, intelligent diagnosis, and remote patient management. However, the proliferation of interconnected medical devices also exposes the ecosystem to severe security challenges, including identity forgery, data tampering, and emerging quantum-based attacks. To address these challenges, this paper proposes a blockchain-assisted quantum signature framework for securing data exchange in 6G - enabled IoMT environments. The proposed framework leverages quantum digital signatures (QDS) based on entangled photon states to ensure message authenticity and non-repudiation, while blockchain technology provides decentralized trust management and immutable transaction logging. A Medical Authorization Center (MAC) coordinates identity registration, signature verification, and consensus-based access control among IoMT entities. Furthermore, smart contracts are utilized to automate trust evaluation and audit trails, thereby mitigating insider and replay attacks. Performance analysis using Qiskit simulations and IBM’s quantum backends demonstrates an average signature fidelity of 91% and a communication efficiency of 75.61%, validating the framework’s robustness for resource-constrained medical devices. By fusing quantum communication primitives with blockchain-enabled transparency, this work presents a scalable and tamper-resistant security solution for next-generation healthcare networks. The convergence of 6G communication technologies and the Internet of Medical Things (IoMT) has revolutionized modern healthcare by enabling real-time monitoring, intelligent diagnosis, and remote patient management. However, the proliferation of interconnected medical devices also exposes the ecosystem to severe security challenges, including identity forgery, data tampering, and emerging quantum-based attacks. To address these challenges, this paper proposes a blockchain-assisted quantum signature framework for securing data exchange in 6G-enabled IoMT environments. The proposed framework leverages quantum digital signatures (QDS) based on entangled photon states to ensure message authenticity and non-repudiation, while blockchain technology provides decentralized trust management and immutable transaction logging. A Medical Authorization Center (MAC) coordinates identity registration, signature verification, and consensus-based access control among IoMT entities. Furthermore, smart contracts are utilized to automate trust evaluation and audit trails, thereby mitigating insider and replay attacks. Performance analysis using Qiskit simulations and IBM’s quantum backends demonstrates an average signature fidelity of 91% and a communication efficiency of 75.61%, validating the framework’s robustness for resource-constrained medical devices. By fusing quantum communication primitives with blockchain-enabled transparency, this work presents a scalable and tamper-resistant security solution for next-generation healthcare networks.
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.
Internet of Medical Things (IoMT) is an advanced ecosystem made with the help of Internet of Things technology, smart sensors, medical equipment, and connected end users. Internet of Medical Things is very helpful to enhance efficiency, accuracy, and qualities traditional healthcare system. A smart IoMT contains end users, heterogeneous network, and private data is transferred through public channel. Therefore, it becomes hard to achieve both security and privacy in the IoMT system. In this article, we have focused on designing privacy preserving authenticated key mechanism between two parties. We have proposed a blockchain assisted authenticated key exchange mechanism for IoMT systems supporting fog computing paradigm. The proposed privacy preserving authenticated key exchange protocol is based post quantum assumption “ring learning with errors” and physical unclonable function (PUF), respectively. A detailed security analysis ensures that proposed protocol is secure against most of the existing attacks. This protocol is also secure against quantum attacks based on the assumption.