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.
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.
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 rapid adoption of cloud infrastructures has intensified concerns regarding data confidentiality, integrity, and trust management, particularly in the presence of emerging quantum computing threats. Classical cryptographic mechanisms, which underpin most existing cloud security architectures, are increasingly vulnerable to quantum attacks capable of compromising public-key encryption and key exchange protocols. To address these challenges, this paper proposes a hybrid security framework that integrates Quantum Cryptography with Blockchain technology to achieve robust, future-resistant data protection in cloud environments. The proposed framework leverages Quantum Key Distribution (QKD) to enable provably secure key generation and exchange based on quantum mechanical principles, ensuring resistance against eavesdropping and computational attacks. Blockchain technology is employed to provide decentralized trust, immutable audit trails, and transparent access control across distributed cloud services. Smart contracts enforce fine-grained security policies, automate authentication, and ensure tamper-proof data access logging. The synergy between quantum cryptography and blockchain establishes a secure key lifecycle, resilient identity management, and verifiable data integrity within multi-tenant cloud infrastructures. Comprehensive security analysis demonstrates that the proposed approach effectively mitigates quantum-enabled attacks, insider threats, and single-point-of-failure vulnerabilities commonly found in traditional cloud security models. Experimental evaluation and comparative analysis highlight improvements in data integrity assurance, key management robustness, and trust transparency, with acceptable computational and communication overhead. The results indicate that integrating quantum cryptography with blockchain presents a scalable and future-proof security paradigm for next-generation cloud infrastructures.
The integration of quantum cryptography and blockchain offers a transformative approach to enhance data security in cloud environments. Quantum cryptography, leveraging principles of quantum mechanics such as quantum key distribution (QKD), ensures unbreakable encryption by enabling secure key exchange. Simultaneously, blockchain technology introduces decentralization, transparency, and immutability, ensuring data integrity and preventing unauthorized tampering. This research explores the synergy between these technologies to develop a novel framework for cloud security. The proposed model leverages QKD for secure communication channels and blockchain-based distributed ledgers for verifying transactions and access control. Key contributions include a hybrid encryption mechanism using quantum keys, a consensus algorithm optimized for cloud operations, and integration strategies to mitigate quantum attacks. Performance evaluations demonstrate enhanced resilience against data breaches, improved key management, and seamless scalability for modern cloud architectures. This study establishes a secure, future-proof infrastructure that addresses emerging threats in the post-quantum era while ensuring trust, confidentiality, and data integrity in cloud ecosystems.
The speedy evolution of cyber threats is a serious threat to the protection of sensitive health information, with increasing threats from quantum computing. Conventional security does not keep up with evolving threats, and innovative solutions are needed. This paper introduces a secure hybrid cloud architecture that combines post-quantum cryptography (PQC), advanced hashing, and quantum key distribution (QKD) to authenticate further and protect data in healthcare systems. The primary mission is to generate an attack-resistant authentication process, robust data integrity assurance, and a functional system for key management with extensibility and regulation compliance. The considered infrastructure utilizes PQC-based robust encryption, robust hashing to authenticate data integrity, and QKD for providing secure key exchange augmented with multi-factor authentication. Implementing quantum-resistant protocols properly secures healthcare data in public and private cloud centers. Performance testing reveals a 99.6% overall success rate, 99.8% key exchange success, and 99.9% detection accuracy with QKD. PQC integration offers robust encryption, and advanced hashing techniques offer tamper-evident data integrity. The results establish the strong security, scalability, and quantum age cyber threat tolerance of the approach as a secure solution for guarding healthcare applications and delivering confidential, integrity-guaranteeing data protection.
Recent developments in quantum-enhanced security have demonstrated encouraging promise for enhancing cloud computing environments' security. Utilizing quantum physics, in particular Quantum Key Distribution (QKD), provides a new method for generating cryptographic keys and improves cloud data transport security. The present study offers a thorough investigation of the integration of QKD with conventional encryption techniques, including Advanced Encryption Standard (AES), in order to tackle the dynamic cyber security scenario in cloud computing. The approach entails combining AES for encryption and decryption procedures and establishing a QKD layer within the cloud architecture to produce true quantum keys utilizing Quantum in Cloud technology. Data transmission security is greatly improved by the smooth integration of AES with QKD-generated keys, guaranteeing confidentiality, integrity, and authenticity. In addition, strong key management practices are put in place to handle cryptographic keys safely at every stage of their lifespan, reducing the possibility of unwanted access or interception. The suggested approach successfully addresses the difficulties presented by cyber threats by offering a robust and flexible means of enhancing security in cloud-based systems. Using both traditional and quantum encryption methods, this strategy provides a strong barrier against cyber-attacks, data leaks, and other security flaws. After 70 simulation rounds, the suggested strategy, which is implemented using the QKD-AES framework in Python software, achieved a data access rate of 820 MB/s. In addition to providing an accurate and quantitative assessment of the performance, this also exhibits a high data access rate attained under simulated conditions. At 15 milliseconds, the key generation time was achieved with efficiency, guaranteeing the quick creation of secure cryptographic keys in cloud environments. Overall, there is a lot of potential in using quantum-enhanced security techniques to protect sensitive data and guarantee the integrity of cloud computing infrastructures.