As quantum computing advances, conventional encryption techniques such as RSA, ECC, and even advanced symmetric encryption face increasing risks of cryptanalytic breakthroughs.Cloud storage systems, which host massive volumes of sensitive and distributed data, are especially vulnerable to quantum-based attacks.This paper extends the DynSecCloud framework previously developed with dynamic fragmentation, multi-layer chain encryption, and location-based key management into a post-quantum secure architecture.The proposed post-Quantum DynSecCloud integrates lattice-based, hash-based, and multivariate post-quantum cryptographic primitives to ensure long-term resilience against emerging quantum threats.We analyze the performance trade-offs between quantum-resistant algorithms and traditional RNG-driven chain encryption, focusing on storage overhead, Latency, and throughput in distributed cloud environments.Experimental evaluations demonstrate that although post-quantum cryptography introduces moderate computational overhead, the hybridisation of PQC with dynamic fragmentation minimises the performance impact while significantly enhancing resistance to quantum cryptanalytic models.The findings establish post-Quantum DynSecCloud as a scalable, quantum-resilient cloud security model, offering strong future-proof protection for sensitive data in distributed cloud ecosystems.
As quantum computing advances, conventional encryption techniques such as RSA, ECC, and even advanced symmetric encryption face increasing risks of cryptanalytic breakthroughs.Cloud storage systems, which host massive volumes of sensitive and distributed data, are especially vulnerable to quantum-based attacks.This paper extends the DynSecCloud framework previously developed with dynamic fragmentation, multi-layer chain encryption, and location-based key management into a post-quantum secure architecture.The proposed post-Quantum DynSecCloud integrates lattice-based, hash-based, and multivariate post-quantum cryptographic primitives to ensure long-term resilience against emerging quantum threats.We analyze the performance trade-offs between quantum-resistant algorithms and traditional RNG-driven chain encryption, focusing on storage overhead, Latency, and throughput in distributed cloud environments.Experimental evaluations demonstrate that although post-quantum cryptography introduces moderate computational overhead, the hybridisation of PQC with dynamic fragmentation minimises the performance impact while significantly enhancing resistance to quantum cryptanalytic models.The findings establish post-Quantum DynSecCloud as a scalable, quantum-resilient cloud security model, offering strong future-proof protection for sensitive data in distributed cloud ecosystems.
The high growth rate of cloud storage companies has reshaped the digital management of data among individuals and companies. Nevertheless, the future of quantum computing spells a major danger to classical cryptographic algorithms like the RSA and the ECC which forms the backbone to the current cloud security infrastructures. In order to mitigate this new risk, this paper will present a new Post-Quantum Cryptography (PQC)-based security architecture, customized to cloud storage application. The model combines lattice-based key encapsulation models and hash-based authentication models to provide long-term data confidentiality, integrity, and non-repudiation. The basic uniqueness of the offered model is its hybrid cryptographic implementation, which will have quantum-resilient key exchange, and a hardened hash-based signature verification as a single workflow of cloud security. This assimilation improves resistance to quantum-based attacks and retains viable computational efficiency. The evaluation of performance shows that the framework can be used in large-scale and distributed cloud systems since it has a well-balanced trade-off between high quantum resilience and controllable processing overheads. The suggested PQC scheme will create moderate overhead and high future-proof security, in comparison to the traditional crypto-systems. The paper portrays the strategic value of shifting towards quantum-resistant encryption systems to guarantee long-term data security in the post-quantum future.
The rapid advancement of quantum computing threatens the security foundations of classical public-key cryptographic systems such as RSA and Elliptic Curve Cryptography (ECC), which underpin cloud and edge infrastructures. With scalable quantum algorithms capable of breaking widely deployed cryptographic primitives, organizations must transition toward quantum-resilient security models. This paper proposes a comprehensive Quantum-Resilient Cryptographic Architecture (QRCA) designed specifically for cloud and edge computing environments. The framework integrates post-quantum cryptographic (PQC) algorithms, hybrid key exchange protocols, zero-trust principles, and hardware-assisted secure enclaves. We present a layered security model that balances computational overhead, latency constraints, and scalability requirements in distributed systems. Experimental simulations evaluate performance metrics including encryption latency, key exchange overhead, and throughput across cloud data centres and edge nodes. Results indicate that hybrid PQC deployments achieve strong quantum resilience with manageable performance trade-offs. The proposed architecture offers a practical migration pathway for organizations seeking future-proof cryptographic security in distributed computing ecosystems.
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 introduces unprecedented security threats to modern cloud and edge computing infrastructures. Classical public-key cryptographic algorithms such as RSA, Diffie–Hellman, and Elliptic Curve Cryptography (ECC) are fundamentally vulnerable to quantum attacks enabled by Shor’s algorithm. As a result, the confidentiality, integrity, and authenticity of data stored and processed in distributed systems are at serious risk.Post-quantum cryptography (PQC) aims to develop cryptographic algorithms that are resistant to both classical and quantum adversaries. This paper presents a comprehensive quantum-resilient cryptographic framework designed specifically for post-quantum cloud and edge computing environments. The framework integrates post-quantum cryptographic primitives, hybrid cryptographic approaches, crypto-agile architectures, and secure key management mechanisms. The proposed framework addresses performance constraints, scalability requirements, and deployment challenges in heterogeneous environments. A detailed discussion of security threats, architectural components, performance considerations, and future research directions is provided. The proposed approach enables longterm security and supports a smooth transition toward quantum-safe distributed computing systems.
The exponential growth of cloud computing and hybrid enterprise IT infrastructures has significantly transformed how organizations store, process, and transmit data. As reliance on distributed systems deepens, ensuring the confidentiality, integrity, and availability of sensitive information has become a paramount concern especially in the face of emerging quantum computing capabilities. Quantum computers, once fully realized, will render many current public-key cryptographic systems such as RSA, ECC, and DH obsolete due to their vulnerability to quantum algorithms like Shor’s and Grover’s. This looming threat demands a paradigm shift toward quantum-resistant cryptographic protocols that can safeguard digital assets across dynamic and heterogeneous environments. This study presents a comprehensive analysis of quantum-resistant cryptographic schemes, focusing on lattice-based, hash-based, multivariate polynomial, and code-based approaches. These protocols are critically evaluated in terms of computational efficiency, scalability, resistance to side-channel attacks, and adaptability to multi-tenant cloud architectures. Special emphasis is placed on their integration into hybrid enterprise IT ecosystems, which often comprise on-premises servers, private clouds, and public cloud services each with unique security and compliance requirements. Additionally, the research proposes a layered security model that leverages post-quantum encryption for data-at-rest, hybrid key exchange mechanisms for secure data-in-transit, and secure bootstrapping protocols for cross-domain identity verification. Through simulations and policy analysis, this work demonstrates how quantum-resilient cryptography can be effectively deployed without compromising system performance or interoperability. Ultimately, the findings aim to guide enterprises, cloud providers, and cybersecurity professionals in building forward-compatible, future-proof data protection strategies.
As the digital landscape evolves, the reliance on cloud computing for critical infrastructure across various sectors highlights the need for robust security mechanisms to protect sensitive data from emerging cyber threats, particularly those posed by quantum computing. Traditional cryptographic systems, while currently effective, are vulnerable to quantum attacks, necessitating the development of quantum-resistant solutions. This research introduces the Quantum-Resilient Cryptographic Framework (QRCF), a hybrid, adaptive cryptographic framework designed to safeguard cloud environments against both classical and quantum threats. The QRCF integrates lattice-based Kyber and code-based McEliece algorithms, offering a comprehensive and scalable solution for secure data storage, management, and transmission. Key contributions include the development of a dynamic security management layer that adapts to real-time threat analysis, ensuring continuous protection against evolving threats, and the implementation of robust post-quantum cryptographic methods that maintain high performance and low computational overhead. Quantitative analysis shows that the QRCF maintains a high throughput of 420 MB/s for encryption and 400 MB/s for decryption under normal operations, with latency as low as 3.2 ms and 3.6 ms, respectively. The framework exhibited strong resistance to various attack models, with success rates of 1.0% for brute-force attacks, 1.875% for MITM attacks, 0.833% for side-channel attacks, and 1.6% for replay attacks. Against quantum threats, the QRCF showed no vulnerability to Shor’s Algorithm and a minimal success rate of 0.667% for Grover’s Algorithm. The framework’s design ensures seamless integration with existing cloud infrastructures, providing practical migration strategies to quantum-safe cryptography without disrupting operational workflows. By addressing key research gaps in quantum-safe cloud security, this study contributes significantly to the field, offering a robust, scalable, and efficient cryptographic solution that enhances the security and operational performance of cloud environments in the face of advancing quantum computational capabilities.