An efficient poly-quantum integrity key generation based multi-user access control encryption and decryption framework for homogeneous and heterogeneous cloud EHR databases
Nagababu Garigipati, S Srithar, Vuyyuru Krishna Reddy
Cloud data security is a critical concern in the healthcare industry, particularly when it comes to protecting electronic health records (EHRs). To ensure that only authorized parties have access to sensitive patient information, it is necessary to employ secure key distribution, quantum key generation, and multi-user data encryption and decryption techniques. These techniques effectively prevent unauthorized access and insider attacks, thereby safeguarding EHRs stored in the cloud. The application of advanced cryptographic methods, such as AES and QKD, further enhances EHR security by providing protection against brute force attacks and other security threats. Prioritizing cloud data security is essential for maintaining patient privacy and confidentiality, which requires a combination of advanced encryption methods and robust key management practices. Quantum key distribution (QKD) enables secure sharing of secret keys between two parties over an insecure communication channel, ensuring that only authorized entities can access sensitive patient information. In this work, a novel Poly-Quantum key generation method is implemented to enhance the integrity of the secret key generation process. Chaotic Poly-Quantum keys are used to generate integrity values of variable sizes for multi-user encryption and decryption operations. Consequently, an advanced multi-user quantum integrity-based multi-access control encryption and decryption approach is developed for homogeneous and heterogeneous electronic health records, aiming to enhance cloud data security. Scalability Evaluation: To assess performance in large-scale healthcare environments, comprehensive scalability testing should be conducted. This will validate the framework’s efficiency and reliability under extensive workloads. The proposed Poly-Quantum-based security model marks a significant advancement in cloud-based healthcare data protection, laying a foundation for future quantum-enhanced cryptographic solutions. Experimental results demonstrate that the proposed poly quantum key integrity-based multi-user encryption and decryption framework exhibits superior optimization compared to conventional approaches on both homogeneous and heterogeneous EHR databases.
Cloud data security is a critical concern in the healthcare industry, particularly when it comes to protecting electronic health records (EHRs). To ensure that only authorized parties have access to sensitive patient information, it is necessary to employ secure key distribution, quantum key generation, and multi-user data encryption and decryption techniques. These techniques effectively prevent unauthorized access and insider attacks, thereby safeguarding EHRs stored in the cloud. The application of advanced cryptographic methods, such as AES and QKD, further enhances EHR security by providing protection against brute force attacks and other security threats. Prioritizing cloud data security is essential for maintaining patient privacy and confidentiality, which requires a combination of advanced encryption methods and robust key management practices. Quantum key distribution (QKD) enables secure sharing of secret keys between two parties over an insecure communication channel, ensuring that only authorized entities can access sensitive patient information. In this work, a novel Poly-Quantum key generation method is implemented to enhance the integrity of the secret key generation process. Chaotic Poly-Quantum keys are used to generate integrity values of variable sizes for multi-user encryption and decryption operations. Consequently, an advanced multi-user quantum integrity-based multi-access control encryption and decryption approach is developed for homogeneous and heterogeneous electronic health records, aiming to enhance cloud data security. Scalability Evaluation: To assess performance in large-scale healthcare environments, comprehensive scalability testing should be conducted. This will validate the framework’s efficiency and reliability under extensive workloads. The proposed Poly-Quantum-based security model marks a significant advancement in cloud-based healthcare data protection, laying a foundation for future quantum-enhanced cryptographic solutions. Experimental results demonstrate that the proposed poly quantum key integrity-based multi-user encryption and decryption framework exhibits superior optimization compared to conventional approaches on both homogeneous and heterogeneous EHR databases.
Healthcare requires data encryption to safeguard sensitive patient information from unauthorized access or breaches. Encryption ensures that data is encoded into a secure format, making it unreadable to anyone without the decryption key. This helps maintain patient privacy, protects against identity theft, and ensures compliance with data protection regulations like HIPAA (Health Insurance Portability and Accountability Act.). With encryption, healthcare organizations can mitigate the risk of data breaches and uphold trust with patients by ensuring the confidentiality and integrity of their medical records and personal information. Quantum cryptography emerges as a revolutionary solution, offering unparalleled encryption for healthcare data. This process initiates with the meticulous crafting of quantum states to encapsulate healthcare data securely, ensuring precise encoding. Subsequently, quantum entanglement is established between sender and receiver, creating a secure communication channel resistant to interception attempts. Quantum key distribution then generates a secure key leveraging entangled quantum states, becoming the cornerstone of encryption. Quantum encryption shields healthcare data in an impenetrable veil of secrecy, leveraging the complexities of quantum mechanics to thwart unauthorized decryption attempts. The decryption process, facilitated by the shared secure key, unveils the encrypted healthcare data exclusively to authorized parties, preserving confidentiality with unparalleled precision. The result reveals quantum cryptography's superiority in healthcare data encryption. At 150-bit key length, quantum cryptography takes 352,237 milliseconds vs. AES's 310,285 milliseconds. For a 14 KB input, quantum cryptography requires 7 milliseconds compared to AES's 12 milliseconds. These metrics highlight quantum cryptography's efficiency gains and transformative potential in healthcare data security, promising both enhanced security and efficiency benefits.
Healthcare requires data encryption to safeguard sensitive patient information from unauthorized access or breaches. Encryption ensures that data is encoded into a secure format, making it unreadable to anyone without the decryption key. This helps maintain patient privacy, protects against identity theft, and ensures compliance with data protection regulations like HIPAA (Health Insurance Portability and Accountability Act.). With encryption, healthcare organizations can mitigate the risk of data breaches and uphold trust with patients by ensuring the confidentiality and integrity of their medical records and personal information. Quantum cryptography emerges as a revolutionary solution, offering unparalleled encryption for healthcare data. This process initiates with the meticulous crafting of quantum states to encapsulate healthcare data securely, ensuring precise encoding. Subsequently, quantum entanglement is established between sender and receiver, creating a secure communication channel resistant to interception attempts. Quantum key distribution then generates a secure key leveraging entangled quantum states, becoming the cornerstone of encryption. Quantum encryption shields healthcare data in an impenetrable veil of secrecy, leveraging the complexities of quantum mechanics to thwart unauthorized decryption attempts. The decryption process, facilitated by the shared secure key, unveils the encrypted healthcare data exclusively to authorized parties, preserving confidentiality with unparalleled precision. The result reveals quantum cryptography's superiority in healthcare data encryption. At 150-bit key length, quantum cryptography takes 352,237 milliseconds vs. AES's 310,285 milliseconds. For a 14 KB input, quantum cryptography requires 7 milliseconds compared to AES's 12 milliseconds. These metrics highlight quantum cryptography's efficiency gains and transformative potential in healthcare data security, promising both enhanced security and efficiency benefits.
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.
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.
The rapid evolution of quantum computing puts traditional encryption techniques at risk of becoming ineffective, potentially exposing sensitive healthcare information to unprecedented cyber vulnerabilities. This research proposes the implementation of quantum-driven cryptographic framework, which utilizes quantum key distribution, quantum-safe algorithms, and random high entropy quantum number generators to ensure the safety of healthcare data on different health information systems. This framework advocates for the unification of EHRs, telemedicine, and IoT-enabled devices. This incorporation defends not only against current cyber vulnerabilities, but also future sequential cyber risks. This is crucial in protecting patient trust within the healthcare system. The goal is to develop a protected healthcare crypto framework best described as box-quantum safe, scalable and dynamically compliant with respective health laws cryptographically enclosing the sensitive data against relational and quantum attacks. The framework prioritizes patient data accessibility with seamless security with the incorporation of quantum key distribution, quantum safe algorithms, and entropy quantum number generators. The framework also facilitates uninterrupted incorporation with EHRs, telemedicine and connected devices while assuring continuous compliance with prevailing data protection legislations. The quantum driven frameworks to cryptographic systems are highly beneficial in safeguarding sensitive data, as it offers robust protection from current and emerging cyber threats. Integrating qsafe encryption and modern healthcare data management systems enables the proposed system to safeguard the patient's privacy, anger no international security compliance issues, and be resilient to emerging quantum threats.
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.