Abstract Quantum computing (QC) is an emerging area that yearly improves and develops more advances in the number of qubits and the available infrastructure for public users. Nowadays, the main cloud service providers (CSP) are implementing different mechanisms to support access to their quantum computers, which can be used to perform small experiments, test hybrid algorithms and prove quantum theories. Recent research work have discussed the low capacity of using quantum computers in a single CSP to perform quantum computation that are needed to solve different experiments for real world problems. Thus, there are needs for computing powers in the form of qubits from multi-cloud environment. Quantum computing in a multi-cloud environment requires security of the communicating channels. A well known algorithm in quantum cryptography for this purpose is the quantum key distribution (QKD) protocol. This enables the sender and receiver of a message to know when a third party eavesdropped any data from the insecure quantum channel. To address the low capacity issue, this research develops and tests the use of heterogeneous quantum computers located on different CSP to distribute quantum calculations between them by leveraging the channel security provided by the QKD protocol. The achieved results show over 88.1% of correct distributed quantum computation results without error correction methods, 96.8% of correct distributed quantum computation results using error correction methods and over 98.8% correct authorisation detection in multi-cloud environments. This demonstrates that quantum calculations can be distributed between different CSP while securing the channel with the QKD protocol at the same time.
Abstract Quantum computing (QC) is an emerging area that yearly improves and develops more advances in the number of qubits and the available infrastructure for public users. Nowadays, the main cloud service providers (CSP) are implementing different mechanisms to support access to their quantum computers, which can be used to perform small experiments, test hybrid algorithms and prove quantum theories. Recent research work have discussed the low capacity of using quantum computers in a single CSP to perform quantum computation that are needed to solve different experiments for real world problems. Thus, there are needs for computing powers in the form of qubits from multi-cloud environment. Quantum computing in a multi-cloud environment requires security of the communicating channels. A well known algorithm in quantum cryptography for this purpose is the quantum key distribution (QKD) protocol. This enables the sender and receiver of a message to know when a third party eavesdropped any data from the insecure quantum channel. To address the low capacity issue, this research develops and tests the use of heterogeneous quantum computers located on different CSP to distribute quantum calculations between them by leveraging the channel security provided by the QKD protocol. The achieved results show over 88.1% of correct distributed quantum computation results without error correction methods, 96.8% of correct distributed quantum computation results using error correction methods and over 98.8% correct authorisation detection in multi-cloud environments. This demonstrates that quantum calculations can be distributed between different CSP while securing the channel with the QKD protocol at the same time.
Quantum computing has emerged as a transformative technology with the potential to revolutionize various domains, including cryptography. This research paper addresses the pressing issue of enhancing cryptographic protocols in cloud security through the integration of quantum computing. The main objective of this study is to develop and evaluate novel cryptographic protocols that leverage the computational power of quantum systems to enhance security measures in cloud environments.To achieve this objective, we employed a hybrid methodology that combines classical cryptographic techniques with quantum algorithms. Specifically, we designed a framework incorporating quantum key distribution (QKD) and post-quantum cryptographic (PQC) algorithms to ensure robust security against quantum attacks. The framework was implemented and tested in a simulated cloud environment to assess its effectiveness and performance.The results indicate that the proposed quantum-enhanced cryptographic protocols significantly improve the security and resilience of cloud systems. Our findings demonstrate that the integration of QKD and PQC provides a higher level of security compared to traditional cryptographic methods, effectively mitigating potential threats posed by quantum computers. Additionally, the performance analysis shows that the proposed protocols are computationally feasible and can be integrated into existing cloud infrastructures with minimal overhead.In conclusion, this research highlights the potential of quantum computing to address critical security challenges in cloud computing. The proposed quantum-enhanced cryptographic protocols offer a promising solution for protecting sensitive data in cloud environments against emerging quantum threats. Future work will focus on refining these protocols and exploring their practical applications in real-world cloud systems. .
Nowadays, Information Technology group is undergone significant shift in computing and protecting business value by using well-built, workable and authentic replacement of Cloud Computing.Cloud Computing is a contemporary computational architecture that provides another type of model.Cloud Computing provides substantial measure of computing, storage services, Data classification, IT assets and data management and cyber security.An unauthorized user may be accessed this data through virtual machines.This uncertainty creates a big problem.Cloud Computing is used in both public and private sector due to its accessibility, availability, and cost effectiveness.However, security of data transfer between client and server is still a big problem.Many scientists and researchers have brought up another cryptographic subject in Quantum Computing which is called Quantum Key Distribution (QKD).The first QKD protocol is BB84 that was presented by Charles Bennett and Gilles Brassard in 1984 [4].This paper proposes as a service of Advanced Quantum Cryptography in Cloud Computing.This paper discusses the security issues of cloud computing and the role of cryptography technique in Cloud computing to enrich the Information Security [13].
The widespread cryptographic methods RSA and AES have become more susceptible to quantum-based attacks because researchers developed quantum algorithms such as Shor's and Grover's. QKD chromosomes from quantum mechanics grant authorized parties the ability to exchange cryptographic keys securely alongside built-in eavesdropping detection functionality. In the proposed method a Quantum Key Distribution (QKD) is used to integrate into cloud environments to secure data against quantum threats which have become crucial security concerns today. A new security framework for combining QKD with standard cloud utilities strengthens both access privacy and verify data integrity and ensure authentication of user information. The system framework consists of key generation from quantum elements followed by distribution through quantum channels to support secure communication protocols for Software as a Service (SaaS) and Platform as a Service (PaaS) as well as Infrastructure as a Service (IaaS). The key performance evaluation of the QKD system includes measurements of key generation rate together with Quantum Bit Error Rate (QBER) and eavesdropping detection accuracy rates. The analysis against traditional cryptographic systems proves that QKD stands superior in quantum attack resilience. The proposed system demonstrates its efficiency and robustness through simulation outcomes as well as visual representations. The presented work demonstrates both the revolutionary capability of quantum technology for cloud security along with a deployable system architecture for future systems implementation. The research work advances the creation of cloud infrastructure systems which combine high security resilience to protect against future cyber threats.
Quantum Key Distribution (QKD) is a rising field of research that aims at solving a very common problem in computer security: the problem of cryptographic key exchange. Nowadays, key distribution problem is solved leveraging algorithms that allow to dynamically generate common secrets starting from shared information. For these algorithms security lies in the difficulty for an adversary to compute mathematical operations needed to recover the generated secret. Nevertheless, advent of quantum computers represents a huge concern for classical security, since it has been proved capable of solving these operations in polynomial time. QKD represents a possible solution to this problem, since it allows to exchange keys between two distant parties in a way that is considered secure against both classical and quantum attacks. Recent studies focus their attention on protocols and technologies needed to improve QKD between two parties, with little attention to practical integration in real contexts. This work proposes a different approach: QKD is here used in a softwarised network in order to be accessed from different security services or applications that may need it. The goal of this work is to outline main challenges that need to be faced when distributing QKD as a service for multiple clients. A QKD simulator has been developed to understand limits and characteristics of different protocols in such an environment. On the top of it, QKD ETSI standard has been implemented in order to realise a key server capable of distributing quantum distributed keys to different clients. The proposed work provides a new perspective, in which QKD can be used in cloud environments without taking care about the implementation complexity that it carries with it. Moreover, it outlines criticalities and challenges that needs to be faced in order to integrate QKD in such a systems.
The objective of this research is to explore the integration of quantum computing with multi-cloud architectures, aiming to enhance computational efficiency and security in advanced cloud environments. The study seeks to identify the potential benefits and challenges of incorporating quantum computing capabilities within a multi-cloud framework and to evaluate the impact on performance and security metrics. The research employs a hybrid methodological approach, combining both theoretical analysis and practical implementation. Initially, a detailed literature review is conducted to understand the current state of quantum computing and multi-cloud architectures. This is followed by the design and development of an integration framework that leverages quantum computing technologies in a multi-cloud environment. Key steps include developing a multi-cloud architecture that integrates quantum computing resources alongside classical computing resources, deploying quantum algorithms and protocols within the multi-cloud setup, implementing advanced security measures to protect data and computational processes, using a set of predefined metrics to evaluate computational efficiency and security, and employing statistical tools and techniques to analyze the collected data and draw meaningful insights. The integration of quantum computing with multi-cloud architectures resulted in significant improvements in computational efficiency, particularly in tasks that are traditionally resource-intensive. Key findings include enhanced computational speed, where quantum algorithms demonstrated superior performance in solving complex problems compared to classical algorithms, optimized resource utilization through dynamic allocation of quantum and classical resources leading to cost efficiency, improved security with quantum-enhanced protocols providing robust protection against cyber threats, and high scalability of the integrated architecture to accommodate increasing computational demands without compromising performance. The research concludes that integrating quantum computing with multi-cloud architectures offers substantial benefits in terms of computational efficiency and security. The findings indicate that such integration can revolutionize cloud computing, providing a powerful platform for handling complex computations and enhancing data security. However, the study also highlights several challenges, including the need for specialized hardware, the complexity of integration, and the necessity for ongoing research to fully harness the potential of quantum computing in cloud environments. Future research should focus on addressing these challenges and exploring further applications of quantum computing in various cloud-based scenarios.
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.