Cloud computing has emerged as the prevailing development in healthcare systems across the global market.These systems are creating and processing vast amounts of patient data that require a certain level of security.However, due to the introduction of quantum computation, the future of cryptographic techniques on which Cloud security relies is in danger.The following paper seeks to explore the compatibility of quantum computing and cloud security and regard to the protection of health data.It also includes a comprehensive analysis of the current risks, a discussion of already existing quantum-vulnerable points, and a strategy for creating a quantum-safe strategy for safe patient data storage in healthcare.The study under consideration also employs quantum cryptography and cloud structures to identify threats and create appropriate defence mechanisms.Some models explored and analyzed include Quantum Key Distribution (QKD), Post-Quantum Cryptography (PQC) and hybrid cryptosystems.A simulated hospital database has brought about the fragility of some of these algorithms, a research work dubbed as quantum resilience, in order to explain how it is possible to integrate these two concepts without removing the aspects of the cloud that make it Quantum Computing and Cloud Security: Future-Proofing Healthcare Data Protection https://iaeme.com/Home/journal/IJRCAIT54 editor@iaeme.comappealing to many people, including scalability and accessibility.This indicates that there has been a major enhancement in standing against quantum attacks, specifically showing the way towards effective, sustainable and protected healthcare information systems.
Cloud computing has emerged as the prevailing development in healthcare systems across the global market.These systems are creating and processing vast amounts of patient data that require a certain level of security.However, due to the introduction of quantum computation, the future of cryptographic techniques on which Cloud security relies is in danger.The following paper seeks to explore the compatibility of quantum computing and cloud security and regard to the protection of health data.It also includes a comprehensive analysis of the current risks, a discussion of already existing quantum-vulnerable points, and a strategy for creating a quantum-safe strategy for safe patient data storage in healthcare.The study under consideration also employs quantum cryptography and cloud structures to identify threats and create appropriate defence mechanisms.Some models explored and analyzed include Quantum Key Distribution (QKD), Post-Quantum Cryptography (PQC) and hybrid cryptosystems.A simulated hospital database has brought about the fragility of some of these algorithms, a research work dubbed as quantum resilience, in order to explain how it is possible to integrate these two concepts without removing the aspects of the cloud that make it Quantum Computing and Cloud Security: Future-Proofing Healthcare Data Protection https://iaeme.com/Home/journal/IJRCAIT54editor@iaeme.comappealing to many people, including scalability and accessibility.This indicates that there has been a major enhancement in standing against quantum attacks, specifically showing the way towards effective, sustainable and protected healthcare information systems.
Cloud computing has emerged as the prevailing development in healthcare systems across the global market. These systems are creating and processing vast amounts of patient data that require a certain level of security. However, due to the introduction of quantum computation, the future of cryptographic techniques on which Cloud security relies is in danger. The following paper seeks to explore the compatibility of quantum computing and cloud security and regard to the protection of health data. It also includes a comprehensive analysis of the current risks, a discussion of already existing quantum-vulnerable points, and a strategy for creating a quantum-safe strategy for safe patient data storage in healthcare. The study under consideration also employs quantum cryptography and cloud structures to identify threats and create appropriate defence mechanisms. Some models explored and analyzed include Quantum Key Distribution (QKD), Post-Quantum Cryptography (PQC) and hybrid cryptosystems. A simulated hospital database has brought about the fragility of some of these algorithms, a research work dubbed as quantum resilience, in order to explain how it is possible to integrate these two concepts without removing the aspects of the cloud that make it appealing to many people, including scalability and accessibility. This indicates that there has been a major enhancement in standing against quantum attacks, specifically showing the way towards effective, sustainable and protected healthcare information systems.
The rise of cloud computing has transformed data storage and processing but introduced new vulnerabilities, especially with the impending threat of quantum computing. Traditional cryptographic methods, though currently effective, are at risk of being compromised by quantum attacks. This research aims to develop a quantum-resistant security framework for cloud environments, combining lattice-based cryptography with Quantum Key Distribution (QKD) protocols, particularly the E91 protocol, for secure key management. The framework also incorporates quantum authentication protocols to enhance user identity verification, protecting against unauthorized access and tampering. The proposed solution balances robust security with practical implementation, ensuring scalability and efficiency in real-world cloud environments. Performance evaluations indicate an encryption time of approximately 30 milliseconds, outperforming existing methods such as RSA and DES. This research contributes to the development of future-proof cryptographic standards, addressing both current security challenges and emerging quantum computing threats. By leveraging quantum mechanics, the framework strengthens cloud-based data protection, providing a resilient solution against evolving cyber risks. The results hold significant promise for advancing cloud security, laying the groundwork for next-generation encryption techniques that can withstand the threats posed by quantum computing.
The rapid advancement of quantum computing poses a significant threat to current cryptographic standards, particularly those securing electronic health records (EHRs) in healthcare systems.Traditional encryption methods such as RSA, ECC, and AES, while robust against classical attacks, are vulnerable to quantum algorithms like Shor's and Grover's, which can efficiently break cryptographic keys and compromise patient data integrity.As healthcare systems become increasingly interconnected through the Internet of Things (IoT) and cloud-based infrastructures, the need for quantum-resistant security mechanisms becomes paramount.Post-Quantum Cryptography (PQC) emerges as a viable solution to future-proof EHR security by employing lattice-based, hash-based, code-based, and multivariate polynomial cryptographic techniques that remain resistant to quantum attacks.This paper explores the implications of quantum computing on healthcare cybersecurity, emphasizing the vulnerabilities of existing encryption protocols and the necessity of transitioning toward PQC frameworks.Furthermore, we examine the integration of PQC within healthcare infrastructures, focusing on key exchange mechanisms, digital signatures, and end-to-end encryption for secure EHR transactions.Additionally, the study highlights regulatory and compliance considerations, including the National Institute of Standards and Technology (NIST) PQC standardization efforts and the role of Zero Trust security models in mitigating quantum-era cyber risks.Case studies illustrate successful implementations of PQC in healthcare networks, demonstrating its feasibility and effectiveness in safeguarding sensitive medical information.By adopting quantum-resistant cryptographic standards, healthcare institutions can proactively defend against emerging cyber threats, ensuring data confidentiality, integrity, and long-term resilience in the face of quantum computing advancements.
The recent development in cloud computing has changed data storage and data processing methods, nevertheless, it also created new vulnerabilities, particularly the potential risks caused by quantum computing advancements. Traditional encryption techniques that are effective at present face potential vulnerabilities due to the emergence of quantum threats. The goal of this research is to create a cloud encryption system that is impervious to quantum assaults. Quantum Key Distribution (QKD) systems, particularly the E91 protocol, combine lattice-based encryption to enhance safe key management. This research helps to create upcoming cryptographic standards that can handle both safety problems and new quantum computing hazards. The utilization of quantum mechanics improves cloud data protection as well as it offers a strong defense against new cyber threats. The results show a lot of potential for improving cloud security and laying a foundation for upcoming data encryption methods that can handle the risks, which is created by quantum computing.
Healthcare powered by artificial intelligence is revolutionising the way patients are treated: AI helps diagnose intelligently and lets one manage data intelligently. Nevertheless, this is under threat with the emergence of quantum computing, which threatens to crack all established cryptographic protection in these systems. Currently, this study aims to explore how ready AI-powered healthcare security systems are to counter attacks based on quantum computing. It discusses present vulnerabilities, and considerations of post-quantum cryptographic protections and provides quantum resilience strategic measures. Based on secondary data analysis, literature review, and case studies, the study highlights the major gaps and offers a road map to make safe AI applications in healthcare. Research results underline the importance of implementing quantum-resistant technologies in the short term to maintain long-term data integrity and protection against the system.
The increasing digitalization of the healthcare system, driven by electronic health records, medical IoT devices, and AI-aided diagnostics, has significantly expanded the attack surface for cyber threats. Although current cryptographic protocols provide sufficient security against classical adversaries, new developments in quantum computing threaten the confidentiality, integrity, and availability of medical information as never before. Shor’s algorithm could break widely used asymmetric encryption systems, and Grover’s algorithm weakens symmetric ones, which could render modern healthcare security systems obsolete. This review provides an in-depth and organized analysis of the evolving quantum threat environment in healthcare ecosystems and of the need to move toward quantum-resilient security architectures. It synthesizes the existing literature on post-quantum cryptography (PQC) and identifies lattice-based, hash-based, multivariate, and code-based algorithms as potentially viable long-term replacements. Moreover, it examines the cybersecurity issues that quantum-enabled attacks pose to medical IoT systems, clinical decision-support systems, wearable sensors, telemedicine systems, and cloud-based health information exchanges. The review also covers hybrid quantum-classical defenses, quantum key distribution (QKD), quantum random number generation (QRNG), and blockchain-based trust systems that aim to make systems resilient to advanced persistent quantum attacks. This paper identifies key gaps and outlines future research directions for developing quantum-secure medical systems. The results highlight the importance of early adoption of PQC standards and a layered cyber defense approach to protect patient privacy, ensure regulatory compliance, and retain trust in next-generation digital medical data communication.