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.
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.
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.
As we know, cloud computing plays a vital role in our lives. It also plays a pivotal role in modern business and information technology landscapes. But with this, there is a rise in concerns regarding the security and privacy of all data which is stored in the cloud. To tackle these concerns some effective and traditional cryptographic methods are present but they face potential vulnerabilities due to advent of quantum computing. It also threatens the basis of widely used encryption algorithms and models. This research focuses on the usage of quantum mechanics inspired cryptographic protocols, which will help to strengthen the security of cloud computing models and infrastructures. The research begins with a detailed overview of the current situation and state of security of cloud computing. There is identification of all challenges and vulnerabilities faced due to current, classical and traditional cryptographic techniques and algorithms. As we know that there is a very close arrival of quantum computing, we are surrounded by mighty and latent threats because of quantum computing algorithms that can easily overcome the widely accepted and used encryption standards and models. So, there is a dire need to develop and implement some alternative cryptographic strategies and measures. To overcome these challenges, this research proposes the creation and usage of quantum-inspired cryptographic protocols which are designed to resist attacks from both traditional and quantum vulnerabilities. These protocols are inspired from quantum mechanics, like superposition and entanglement. These protocols will help to design and create cryptographic systems and models that offer enhanced security. The research focuses on the theoretical foundations of these quantum mechanics inspired protocols and assesses their practical feasibility within cloud computing infrastructures and environment.This research contains information regarding the challenges associated with integration and deployment of quantum inspired cryptographic solutions in cloud computing. It evaluates the scalability, efficiency, performance and computational overhead of these quantum inspired protocols to ensure their practical feasibility and capability in existing cloud computing environment and infrastructures. This research also includes comparison performed with quantum cryptographic protocols and traditional cryptographic methods. The results aim to provide evidence that quantum cryptographic techniques are better, feasible and secure options to protect data over cloud. In Conclusion, the research aims to provide an insight that development and usage of advanced security measures can withstand and handle evolving threats, ensuring the continued security and protection of data in cloud computing environment by providing theoretical insights, analysis and evolution.
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.
Quantum cryptographic protocols offer transformative potential for enhancing cloud security by leveraging the principles of quantum mechanics. These protocols ensure unbreakable encryption through quantum key distribution (QKD), where security is derived from the fundamental properties of quantum particles. Unlike classical encryption, which relies on computational complexity, quantum cryptography guarantees data protection by preventing unauthorized access, as any attempt to intercept quantum keys alters their state and can be immediately detected. This paper explores the application of quantum cryptographic protocols in securing cloud environments, addressing vulnerabilities posed by classical encryption techniques in the face of growing computational power. Key protocols, such as BB84 and E91, are analyzed for their potential in securing cloud infrastructure, offering enhanced confidentiality, integrity, and authentication of data. Additionally, this study highlights the integration of quantum cryptography with modern cloud architectures, overcoming challenges such as scalability and implementation cost. By employing quantum-resistant strategies, these protocols provide a robust defense against emerging threats from quantum computing, making them an essential solution for future-proof cloud security. The findings demonstrate that quantum cryptography, combined with advanced cloud security practices, can ensure secure, scalable, and resilient cloud infrastructures capable of protecting sensitive data in an increasingly interconnected digital landscape.
Quantum computing’s potential to upend established cryptographic systems as it develops seriously threatens data security and privacy. With an emphasis on creating cryptographic systems resistant to quantum adversaries, “Quantum secrets: Safeguarding privacy in computational protocols” investigates the relationship between safe computing and quantum physics. This study looks into privacy-preserving quantum algorithms that use concepts like superposition and entanglement to improve security and quantum-safe encryption methods like lattice-based cryptography and quantum key distribution. This research attempts to connect theoretical developments with real-world implementations to give a thorough picture of the developing field of quantum-secure technology. Although quantum computing has the potential to completely transform computing power, privacy and data security are also seriously threatened. Once thought to be impenetrable, classical cryptographic techniques are now susceptible to quantum algorithms like Shor’s and Grover’s, which calls for a paradigm change in how sensitive data is protected. We also discuss recent developments in quantum homomorphic encryption and how they affect safe multi-party computation. In order to ensure privacy and security in the age of quantum supremacy, this article presents a path for incorporating quantum resilience into computing protocols by addressing the theoretical and practical elements of these quantum technologies. In a quantum environment, this study explores quantum cryptographic approaches such secure multi-party computation, post-quantum cryptography, and quantum key distribution. Through establishing a connection between quantum theory and real-world privacy applications, this research attempts to offer a thorough summary of new approaches to protecting private data in the quantum age.
The rise of quantum computing/technology potentially introduces significant security challenges to cloud computing, necessitating quantum-resistant encryption strategies as well as protection schemes and methods for cloud infrastructures offering quantum computing time and services (i.e. quantum clouds). This research explores various options for securing quantum clouds and ensuring privacy, especially focussing on the integration of homomorphic encryption (HE) into Eclipse Qrisp, a high-level quantum computing framework, to enhance the security of quantum cloud platforms. The study addresses the technical feasibility of integrating HE with Qrisp, evaluates performance trade-offs, and assesses the potential impact on future quantum cloud architectures. The successful implementation and Qrisp integration of three post-quantum cryptographic (PQC) algorithms demonstrates the feasibility of integrating HE with quantum computing frameworks. The findings indicate that while the Quantum One-Time Pad (QOTP) offers simplicity and low overhead, other algorithms like Chen and Gentry-Sahai-Waters (GSW) present performance trade-offs in terms of runtime and memory consumption. The study results in an overall set of recommendations for securing quantum clouds, e.g. implementing HE at data storage and processing levels, developing Quantum Key Distribution (QKD), and enforcing stringent access control and authentication mechanisms as well as participating in PQC standardization efforts.