Cloud services will have a high priority in IT and parts of digitisation in the following years. Furthermore, other areas such as medicine, agriculture, Industry 4.0 use cloud services for collecting, processing, and primarily storing data and combine this with smart IoT devices. In addition to high availability and ensuring efficiency without downtime, data security is the most important in those cloud environments. Therefore, enabling traffic encryption between sensors and cloud computing to achieve the authentication and integrity of saved data is expected. And established cryptographic algorithms, like the symmetric scheme or the asymmetric Public-Key technique Rivest-Shamir-Adleman (RSA), guaranteed the security of the data in the pre-quantum computer age. However, some cryptographic algorithms are vulnerable because of emerging quantum computing and are defined as potentially broken. It is, therefore, desirable to explore the use of post-quantum cryptography to ensure data security. This paper shows an approach to keep long-term data quantum-safe with a block cipher suite.
Cloud services will have a high priority in IT and parts of digitisation in the following years. Furthermore, other areas such as medicine, agriculture, Industry 4.0 use cloud services for collecting, processing, and primarily storing data and combine this with smart IoT devices. In addition to high availability and ensuring efficiency without downtime, data security is the most important in those cloud environments. Therefore, enabling traffic encryption between sensors and cloud computing to achieve the authentication and integrity of saved data is expected. And established cryptographic algorithms, like the symmetric scheme or the asymmetric Public-Key technique Rivest-Shamir-Adleman (RSA), guaranteed the security of the data in the pre-quantum computer age. However, some cryptographic algorithms are vulnerable because of emerging quantum computing and are defined as potentially broken. It is, therefore, desirable to explore the use of post-quantum cryptography to ensure data security. This paper shows an approach to keep long-term data quantum-safe with a block cipher suite.
Cloud computing has emerged as an attractive and fastest-growing technology. The Cloud model encompasses a highly scalable infrastructure environment and guarantees the daily business processes for data-driven business cases protected by quantum vulnerable cryptography and no preserving of data privacy. This paper proposes a practical quantum-safe approach to guarantee data privacy even if a quantum computer can break classical public-key exchange algorithms. We present a quantum-safe cloud use based on post-quantum cryptographic and privacy-focused applications via homomorphic encryption and secure multiparty computation.
As we move further into the era of digital transformation, cloud services are becoming a cornerstone across industries such as healthcare, agriculture, and Industry 4.0. These sectors increasingly rely on cloud environments to collect, process, and store vast amounts of data, often integrated with smart devices. While ensuring high availability and efficiency remains vital, the paramount concern is maintaining data security. This challenge becomes even more pressing in a world where quantum computers pose a serious threat to traditional cryptographic methods. Classical encryption schemes, particularly those relying on computational hardness assumptions, are susceptible to quantum attacks. This paper proposes a solution by combining the theoretically unbreakable One-Time Pad (OTP) encryption with quantum-safe key exchange protocols. Through the integration of Quantum Key Distribution (QKD) and post-quantum cryptographic techniques, we outline a robust framework designed to secure communication in the coming quantum era.
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.
The increasing reliance on cloud storage across sectors has made the protection of sensitive data a critical concern especially as advances in quantum computing threaten to break traditional public-key cryptographic systems. This growing vulnerability raises urgent questions about how to secure digital assets in a post-quantum future. To address this challenge, this study aims to design, implement, and evaluate a hybrid encryption framework that combines symmetric encryption for data confidentiality with quantum-resistant public-key algorithms for key management and digital signatures. The objective was to develop a secure and practical solution that can be readily adopted using open-source tools. The system was built in a Linux-based virtual environment using an S3-compatible object storage platform, integrated with quantum-safe cryptographic libraries, and automated through scripting. Performance testing was conducted using files ranging from 100 MB to 1 GB, with metrics such as encryption and decryption time, CPU usage, upload/download latency, and internet throughput analyzed. The results showed that while quantum-safe operations added some overhead, even large files could be securely processed in under two minutes with stable system performance and no data corruption. These findings confirm that hybrid encryption models can be deployed today without specialized hardware, offering a forward-compatible and robust approach to cloud security. This work contributes a tested and reproducible framework for early adoption of quantum-safe cryptography in real-world cloud environments.
Cloud computing has become the foundation of modern digital services, supporting applications in healthcare, finance, education, manufacturing, and government sectors. Despite its numerous advantages, cloud computing faces increasing cybersecurity threats due to rapid technological advancements and the anticipated emergence of quantum computing. Traditional public-key cryptographic algorithms, including RSA and Elliptic Curve Cryptography (ECC), may become vulnerable to quantum attacks. Consequently, researchers are actively investigating post-quantum cryptography (PQC) to develop secure encryption techniques capable of resisting quantum-based attacks. This paper reviews quantum-resistant cryptographic frameworks for cloud computing, discusses leading post-quantum algorithms, implementation strategies, security challenges, performance considerations, practical applications, and future research directions. The study concludes that integrating quantum-resistant algorithms into cloud infrastructures will play a vital role in ensuring long-term cybersecurity.
The rapid proliferation of Internet of Things (IoT) devices has revolutionized digital communication, yet it simultaneously poses unprecedented security challenges due to constrained device capabilities and increasing cyber threats. Conventional cryptographic techniques, while currently effective, are vulnerable to emerging quantum computing technologies that threaten to render classical encryption obsolete. This paper explores the integration of quantum-safe cryptographic techniques within IoT networks to ensure long-term confidentiality, integrity, and authentication. It examines post-quantum cryptographic primitives, including lattice-based, hash-based, multivariate, and code-based schemes, and evaluates their suitability for resource-constrained IoT environments. The study focuses on lightweight implementation strategies, balancing computational efficiency with robust security requirements. Simulation analyses demonstrate that properly optimized quantum safe protocols can provide resilient encryption, key exchange, and digital signature functionalities without overwhelming device resources. Furthermore, the integration of these techniques with IoT communication standards and secure network protocols ensures end-to-end protection across heterogeneous networks. Challenges such as latency, energy consumption, and scalability are addressed, highlighting the necessity of tailored cryptographic solutions for diverse IoT applications. The findings confirm that quantum safe cryptography is essential for future-proofing IoT networks, offering sustainable security measures that remain resilient against both classical and quantum adversaries, thereby supporting the continued expansion of secure and intelligent interconnected systems.