Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Log inSign up
Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Blog
Job Board
Q3AS

© 2026 Aqora Quantum S.A.S.

TermsPrivacyLegal Notice

International Journal For Multidisciplinary Research

Quantum Computing and Cloud Security: Future-Proofing Healthcare Data Protection

Anjan Kumar Gundaboina

Published Aug 18, 2022• 0 citations
Publisher

Abstract

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.

DOI
10.36948/ijfmr.2022.v04i04.61014

Related papers

QUANTUM COMPUTING AND CLOUD SECURITY: FUTURE-PROOFING HEALTHCARE DATA PROTECTION

Anjan Kumar Gundaboina

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.

INTERNATIONAL JOURNAL OF RESEARCH IN COMPUTER APPLICATIONS AND INFORMATION TECHNOLOGY•Aug 18, 2022•0 citations

Post Quantum Cryptography in Healthcare: Future-Proofing Electronic Health Records Against Quantum Computing Threats and Cyber Attacks

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.

International Journal of Computer Applications Technology and Research•Mar 10, 2025•2 citations

Advancing Quantum Cryptography Algorithms for Secure Data Storage and Processing in Cloud Computing: Enhancing Robustness Against Emerging Cyber Threats

Devulapally Swetha, Shaik Khaja Mohiddin

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.

International Journal of Advanced Computer Science and Applications•Jan 1, 2024•7 citations

Enhancing Cloud Security with State-of-the-Art Quantum Cryptography Algorithms: A Defence Against New Cyber Threats

Srinath Muralinathan, Deepti Goel, Pawan Kumar +3 more

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.

International Conference on New Frontiers in Communication, Automation, Management and Security (ICCAMS)•Jul 11, 2025•0 citations

Post-Quantum Security in Cloud Computing: Challenges and Solutions

N. Kowsalya

The emergence of quantum computing marks a revolutionary turning point in the evolution of information technology and cybersecurity. While quantum technologies promise extraordinary computational capabilities capable of solving highly complex scientific and industrial problems, they simultaneously introduce unprecedented risks to the cryptographic foundations that secure today’s digital world. Cloud computing, which has become the backbone of modern digital infrastructure, is particularly vulnerable to these evolving threats. As organizations increasingly rely on cloud platforms for data storage, communication, financial transactions, healthcare systems, research, and critical infrastructure management, ensuring long-term cryptographic security has become an urgent global priority. This book, Post-Quantum Security in Cloud Computing: Challenges and Solutions, has been developed to provide a comprehensive exploration of the rapidly evolving intersection between quantum computing, cloud security, and post-quantum cryptography (PQC). The primary objective of this work is to present both foundational concepts and advanced research perspectives that help readers understand the implications of quantum threats on existing cloud ecosystems and the emerging solutions designed to mitigate them. The chapters in this book collectively examine the vulnerabilities of classical cryptographic systems against quantum algorithms such as Shor’s Algorithm and Grover’s Algorithm, which threaten widely deployed security mechanisms including RSA, Diffie–Hellman, and Elliptic Curve Cryptography. The book further introduces the theoretical and practical foundations of post-quantum cryptography, covering lattice-based, code-based, multivariate, and hash-based cryptographic schemes that are being developed as quantum-resistant alternatives. Beyond theoretical concepts, this book emphasizes practical implementation challenges in cloud environments, including scalability, performance overhead, key management, hybrid cryptographic architectures, secure identity infrastructures, and deployment strategies across distributed and multi-cloud systems. Special attention has also been given to experimental evaluations, benchmarking methodologies, and emerging research directions that will shape the future of quantum-safe cloud security. This work is intended for students, academic researchers, cybersecurity professionals, cloud architects, and policymakers who seek a structured and research-oriented understanding of post-quantum cloud security. By combining theoretical insights with practical perspectives, the book aims to serve as a valuable reference for understanding current developments and preparing for the transition toward quantum-resilient computing infrastructures. The successful completion of this book would not have been possible without the contributions of the global research community working tirelessly in the fields of cryptography, quantum computing, cloud security, and distributed systems. Their groundbreaking research and continuous innovation have inspired many of the ideas discussed throughout this work. It is our sincere hope that this book will contribute meaningfully to the ongoing efforts toward building secure, scalable, and future-ready cloud systems capable of withstanding the challenges of the quantum era.

•May 29, 2026•0 citations

Quantum-Safe Cryptography Implementation in Healthcare Cloud Systems: A Technical Framework

Nithya Ramachandran

As developments in quantum computing threaten to break existing encryption techniques safeguarding sensitive patient information in cloud-based medical systems, the healthcare sector is confronting never-before-seen cryptographic difficulties. Addressing unique needs like multi-decade data retention demands, legacy medical device limitations, and real-time patient care demands, the framework provides a specialized quantum-secure cryptographic design created particularly for healthcare settings. Three innovations are at the basis: a tiered implementation plan that dynamically allocates post-quantum protection level by medical data sensitivity categorisation, application to edge computing architecture that allows quantum-resistant security with resource-constrained medical devices without hardware enhancements, and healthcare interoperability-aware hybrid protocols to ensure continuous data transfer between FHIR, HL7, and DICOM standards in the event of cryptographic switchovers. The model uses NIST-standardized post-quantum algorithms such as CRYSTALS-Kyber and CRYSTALS-Dilithium (digital signatures) and SPHINCS+ (long-term integrity verification) tailored to healthcare with competing requirements of the highest security and lowest operations latency. The implementation strategies will include the application of phase-based implementation approaches that will include the infrastructure preparation phase through full integration of the ecosystem, with a special focus on the optimization of HIPAA compliance and alignment of regulatory frameworks. Performance optimization techniques leverage characteristic healthcare data access patterns, including patient-centric workflows, clinical department batch processing, and medical imaging parallelization strategies. The quantum-safe infrastructure establishes foundational capabilities for next-generation healthcare innovations, including precision medicine genomics platforms, federated artificial intelligence systems, and global health collaboration networks requiring cryptographic security guarantees spanning decades or centuries against both classical and quantum computational threats.

International Journal of Computational and Experimental Science and Engineering•Dec 16, 2025•0 citations
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.
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.
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 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 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.
The emergence of quantum computing marks a revolutionary turning point in the evolution of information technology and cybersecurity. While quantum technologies promise extraordinary computational capabilities capable of solving highly complex scientific and industrial problems, they simultaneously introduce unprecedented risks to the cryptographic foundations that secure today’s digital world. Cloud computing, which has become the backbone of modern digital infrastructure, is particularly vulnerable to these evolving threats. As organizations increasingly rely on cloud platforms for data storage, communication, financial transactions, healthcare systems, research, and critical infrastructure management, ensuring long-term cryptographic security has become an urgent global priority. This book, Post-Quantum Security in Cloud Computing: Challenges and Solutions, has been developed to provide a comprehensive exploration of the rapidly evolving intersection between quantum computing, cloud security, and post-quantum cryptography (PQC). The primary objective of this work is to present both foundational concepts and advanced research perspectives that help readers understand the implications of quantum threats on existing cloud ecosystems and the emerging solutions designed to mitigate them. The chapters in this book collectively examine the vulnerabilities of classical cryptographic systems against quantum algorithms such as Shor’s Algorithm and Grover’s Algorithm, which threaten widely deployed security mechanisms including RSA, Diffie–Hellman, and Elliptic Curve Cryptography. The book further introduces the theoretical and practical foundations of post-quantum cryptography, covering lattice-based, code-based, multivariate, and hash-based cryptographic schemes that are being developed as quantum-resistant alternatives. Beyond theoretical concepts, this book emphasizes practical implementation challenges in cloud environments, including scalability, performance overhead, key management, hybrid cryptographic architectures, secure identity infrastructures, and deployment strategies across distributed and multi-cloud systems. Special attention has also been given to experimental evaluations, benchmarking methodologies, and emerging research directions that will shape the future of quantum-safe cloud security. This work is intended for students, academic researchers, cybersecurity professionals, cloud architects, and policymakers who seek a structured and research-oriented understanding of post-quantum cloud security. By combining theoretical insights with practical perspectives, the book aims to serve as a valuable reference for understanding current developments and preparing for the transition toward quantum-resilient computing infrastructures. The successful completion of this book would not have been possible without the contributions of the global research community working tirelessly in the fields of cryptography, quantum computing, cloud security, and distributed systems. Their groundbreaking research and continuous innovation have inspired many of the ideas discussed throughout this work. It is our sincere hope that this book will contribute meaningfully to the ongoing efforts toward building secure, scalable, and future-ready cloud systems capable of withstanding the challenges of the quantum era.
As developments in quantum computing threaten to break existing encryption techniques safeguarding sensitive patient information in cloud-based medical systems, the healthcare sector is confronting never-before-seen cryptographic difficulties. Addressing unique needs like multi-decade data retention demands, legacy medical device limitations, and real-time patient care demands, the framework provides a specialized quantum-secure cryptographic design created particularly for healthcare settings. Three innovations are at the basis: a tiered implementation plan that dynamically allocates post-quantum protection level by medical data sensitivity categorisation, application to edge computing architecture that allows quantum-resistant security with resource-constrained medical devices without hardware enhancements, and healthcare interoperability-aware hybrid protocols to ensure continuous data transfer between FHIR, HL7, and DICOM standards in the event of cryptographic switchovers. The model uses NIST-standardized post-quantum algorithms such as CRYSTALS-Kyber and CRYSTALS-Dilithium (digital signatures) and SPHINCS+ (long-term integrity verification) tailored to healthcare with competing requirements of the highest security and lowest operations latency. The implementation strategies will include the application of phase-based implementation approaches that will include the infrastructure preparation phase through full integration of the ecosystem, with a special focus on the optimization of HIPAA compliance and alignment of regulatory frameworks. Performance optimization techniques leverage characteristic healthcare data access patterns, including patient-centric workflows, clinical department batch processing, and medical imaging parallelization strategies. The quantum-safe infrastructure establishes foundational capabilities for next-generation healthcare innovations, including precision medicine genomics platforms, federated artificial intelligence systems, and global health collaboration networks requiring cryptographic security guarantees spanning decades or centuries against both classical and quantum computational threats.