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International Conference on Artificial Intelligence and Smart Energy (ICAIS)

Recent Developments and Methods of Cloud Data Security in Post-Quantum Perspective

Shaik Mohammed Ilias, V. Ceronmani Sharmila

Published Mar 25, 2021• 2 citations
Publisher

Abstract

Cloud computing has changed the paradigm of using computing resources. It has shifted from traditional storage and computing to Internet based computing leveraging economy of scale, cost saving, elimination of data redundancy, scalability, availability and regulatory compliance. With these, cloud also brings plenty of security issues. As security is not a one-time solution, there have been efforts to investigate and provide countermeasures. In the wake of emerging quantum computers, the aim of post-quantum cryptography is to develop cryptography schemes that are secure against both classical computers and quantum computers. Since cloud is widely used across the globe for outsourcing data, it is essential to strive at providing betterment of security schemes from time to time. This paper reviews recent development, methods of cloud data security in post-quantum perspectives. It provides useful insights pertaining to the security schemes used to safeguard data dynamics associated with cloud computing. The findings of this paper gives directions for further research in pursuit of more secure cloud data storage and retrieval.

DOI
10.1109/icais50930.2021.9395901

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Cloud computing has changed the paradigm of using computing resources. It has shifted from traditional storage and computing to Internet based computing leveraging economy of scale, cost saving, elimination of data redundancy, scalability, availability and regulatory compliance. With these, cloud also brings plenty of security issues. As security is not a one-time solution, there have been efforts to investigate and provide countermeasures. In the wake of emerging quantum computers, the aim of post-quantum cryptography is to develop cryptography schemes that are secure against both classical computers and quantum computers. Since cloud is widely used across the globe for outsourcing data, it is essential to strive at providing betterment of security schemes from time to time. This paper reviews recent development, methods of cloud data security in post-quantum perspectives. It provides useful insights pertaining to the security schemes used to safeguard data dynamics associated with cloud computing. The findings of this paper gives directions for further research in pursuit of more secure cloud data storage and retrieval.
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.
Cloud Computing is the latest technology that has come to the center-stage because of its ability to achieve economies of scale, quite like mass-production. However, shifting to Cloud comes with certain strings attached, especially security concerns associated with outsourcing critical data and processing to a third party. One way to tackle the security issues can be approaching it using Quantum Computing, which itself is a highly researched area with huge expectations from the researchers. So far, the two fields (viz. Cloud Computing and Quantum Computing), have been researched independent of each other. The paper explains why they should be integrated. The paper presents quantum cryptographic protocols and studies their application in enhancing Cloud security, particularly Network security and Data security. Further, it outlines the work that can be done and finally, seeks to identify possible research directions.
Cloud computing manifests exceptional capacity to facilitate easy to manage, cost effective, flexible and powerful resources across the internet. Due to maximum and shared utilization of utilization of resources, cloud computing enhances the capabilities of resources. There is a dire need for data security in the wake of the increasing capabilities of attackers and high magnitude of sensitive data. Cryptography is employed to ensure secrecy and authentication of data. Conventional information assurance methods are facing increasing technological advances such as radical developments in mathematics, potential to perform big computations and the prospects of wide-ranging quantum computations. Quantum cryptography is a promising solution towards absolute security in cryptosystems. This paper proposes integration of Advanced Encryption Standard (AES) algorithm with quantum cryptography. The proposed scheme is robust and meets essential security requirements. The simulation results show that the Quantum AES produces complex keys which are hard to predict by adversaries than the keys generated by the AES itself.
This study seeks to apply Post-Quantum Cryptography (PQC) as a newly emerging essentially future secure means of transmitting data within cloud environments. The whole world got up in realization that with the advent of quantum computing, traditional encryption algorithms would be unscrambled. Therefore this proposed research is aimed at developing a quantum resistance security framework to ensure data availability, confidentiality, and integrity for multi-user cloud environments using PQC algorithms, hybrid encryption models, and blockchain-based trust mechanisms.
The rapid expansion of Big Data has strained classical computing systems, necessitating innovative solutions for efficient data processing. Quantum computing, leveraging principles like superposition and entanglement, presents transformative potential for addressing complex, large-scale problems that are intractable for classical methods. This review explores the role of quantum computing in Big Data processing, examining key algorithms such as Grover’s search, Shor’s factorization, and quantum machine learning techniques. It discusses foundational concepts like qubit operations, quantum complexity classes, and hybrid quantum-classical architectures, while critically assessing hardware limitations such as de-coherence and error rates in NISQ-era devices. Promising applications in optimization, secure communication, and high-dimensional data analysis are highlighted, alongside challenges in data encoding, algorithmic readiness, and practical implementation. Emerging research directions, including near-term NISQ applications, fault-tolerant quantum computing, and cross-disciplinary opportunities in NLP and IoT, are also explored. By synthesizing theoretical advances with practical constraints, this review provides a balanced perspective on quantum computing is potential to reshape Big Data analytics, emphasizing both its revolutionary capabilities and the significant barriers to widespread adoption. While quantum advantage remains limited to specific use cases today, continued progress in hardware and algorithms may redefine large-scale data processing in the future. References [1]. C. Stouffer, "23 cloud security risks, threats, and best practices," Norton, 2023. [Online]. Available: https://us.norton.com/blog/privacy/cloud-security-risks [2]. A. I. Tahirkheli et al., "A survey on modern cloud computing security over smart city networks: Threats, vulnerabilities, consequences, countermeasures, and challenges," Electronics, vol. 10, no. 15, p. 1811, 2021. [3]. Biz Technology Solutions, "8 cloud computing security challenges," Biz Technology Solutions, Jan. 27, 2023. [Online]. Available: https://biztechnologysolutions.com/cloud-computing-security-challenges/ [4]. S. P, "New cloud security threats in 2023: How to stay protected," Cymune-Blogs, 2023. [Online]. Available: https://www.cymune.com/blog-details/cloud-security-threats-in-2023-and-how-to-stay-protected [5]. S. El Kafhali, I. El Mir, and M. Hanini, "Security threats, defense mechanisms, challenges, and future directions in cloud computing," Arch. Comput. Methods Eng., vol. 29, no. 1, pp. 223–246, 2022. [6]. J. J. Ang'udi, "Security challenges in cloud computing: A comprehensive analysis," World J. Adv. Eng. Technol. Sci., vol. 10, no. 2, pp. 155–181, 2023. [7]. G. Shanmugasundaram, V. Aswini, and G. Suganya, "A comprehensive review on cloud computing security," in 2017 Int. Conf. Innov. Inf., Embedded Commun. Syst. (ICIIECS), 2017, pp. 1–5. [8]. N. Subramanian and A. Jeyaraj, "Recent security challenges in cloud computing," Comput. Electr. Eng., vol. 71, pp. 28–42, 2018. [9]. G. Ramachandra, M. Iftikhar, and F. A. Khan, "A comprehensive survey on security in cloud computing," Procedia Comput. Sci., vol. 110, pp. 465–472, 2017. [10]. W. Ahmad et al., "Cyber security in IoT-based cloud computing: A comprehensive survey," Electronics, vol. 11, no. 1, p. 16, 2021. [11]. H. Tabrizchi and M. Kuchaki Rafsanjani, "A survey on security challenges in cloud computing: Issues, threats, and solutions," J. Supercomput., vol. 76, no. 12, pp. 9493–9532, 2020. [12]. L. Coppolino et al., "Cloud security: Emerging threats and current solutions," Comput. Electr. Eng., vol. 59, pp. 126–140, 2017. [13]. M. F. Mushtaq et al., "Cloud computing environment and security challenges: A review," Int. J. Adv. Comput. Sci. Appl., vol. 8, no. 10, 2017. [14]. Y. Li and Q. Liu, "A comprehensive review study of cyber-attacks and cyber security; Emerging trends and recent developments," Energy Rep., vol. 7, pp. 8176–8186, 2021. [15]. Ö. Aslan et al., "A comprehensive review of cyber security vulnerabilities, threats, attacks, and solutions," Electronics, vol. 12, no. 6, p. 1333, 2023. [16]. S. Basu et al., "Cloud computing security challenges & solutions—A survey," in 2018 IEEE 8th Annu. Comput. Commun. Workshop Conf. (CCWC), 2018, pp. 347–356. [17]. C. Butpheng, K. H. Yeh, and H. Xiong, "Security and privacy in IoT-cloud-based e-health systems—A comprehensive review," Symmetry, vol. 12, no. 7, p. 1191, 2020. [18]. M. Z. Afshar, "Exploring factors impacting organizational adaptation capacity of Punjab Agriculture & Meat Company (PAMCO)," Int. J. Emerg. Issues Soc. Sci. Arts Humanit., vol. 2, no. 1, pp. 1–10, 2023. [19]. M. R. Haque et al., "The role of macroeconomic discourse in shaping inflation views: Measuring public trust in Federal Reserve policies," J. Bus. Insight Innov., vol. 2, no. 2, pp. 88–106, 2023. [20]. M. A. Sayem et al., "AI-driven diagnostic tools: A survey of adoption and outcomes in global healthcare practices," Int. J. Recent Innov. Trends Comput. Commun., vol. 11, no. 10, pp. 1109–1122, 2023. [21]. B. Alouffi et al., "A systematic literature review on cloud computing security: Threats and mitigation strategies," IEEE Access, vol. 9, pp. 57792–57807, 2021. [22]. U. A. Butt et al., "A review of machine learning algorithms for cloud computing security," Electronics, vol. 9, no. 9, p. 1379, 2020. [23]. O. Can et al., "A comprehensive literature of genetics cryptographic algorithms for data security in cloud computing," Cybern. Syst., pp. 1–35, 2023. [24]. M. Javaid, A. Haleem, R. P. Singh, and R. Suman, "Towards insighting cybersecurity for healthcare domains: A comprehensive review of recent practices and trends," Cybersecur. Appl., vol. 1, p. 100016, 2023. [25]. M. M. Sadeeq et al., "IoT and Cloud computing issues, challenges and opportunities: A review," Qubahan Acad. J., vol. 1, no. 2, pp. 1–7, 2021. [26]. A. A. Abbasi et al., "Software-defined cloud computing: A systematic review on latest trends and developments," IEEE Access, vol. 7, pp. 93294–93314, 2019. [27]. A. Heidari and M. A. Jabraeil Jamali, "Internet of Things intrusion detection systems: A comprehensive review and future directions," Cluster Comput., vol. 26, no. 6, pp. 3753–3780, 2023. [28]. S. Ahmed, I. Ahmed, M. Kamruzzaman, and R. Saha, "Cybersecurity challenges in IT infrastructure and data management: A comprehensive review of threats, mitigation strategies, and future trend," Glob. Mainstream J. Innov. Eng. Emerg. Technol., vol. 1, no. 01, pp. 36–61, 2022. [29]. O. I. Abiodun et al., "Comprehensive review of artificial neural network applications to pattern recognition," IEEE Access, vol. 7, pp. 158820–158846, 2019. [30]. A. Fahim, M. Hasan, and M. A. Chowdhury, "Smart parking systems: Comprehensive review based on various aspects," Heliyon, vol. 7, no. 5, 2021. [31]. A. Khanna and S. Kaur, "Internet of things (IoT), applications and challenges: A comprehensive review," Wirel. Pers. Commun., vol. 114, pp. 1687–1762, 2020. [32]. A. K. Jain, S. R. Sahoo, and J. Kaubiyal, "Online social networks security and privacy: Comprehensive review and analysis," Complex Intell. Syst., vol. 7, no. 5, pp. 2157–2177, 2021. [33]. L. Tightiz and H. Yang, "A comprehensive review on IoT protocols’ features in smart grid communication," Energies, vol. 13, no. 11, p. 2762, 2020. [34]. P. J. Sun, "Privacy protection and data security in cloud computing: A survey, challenges, and solutions," IEEE Access, vol. 7, pp. 147420–147452, 2019. [35]. U. Agarwal et al., "Blockchain technology for secure supply chain management: A comprehensive review," IEEE Access, vol. 10, pp. 85493–85517, 2022. [36]. M. Amani et al., "Google earth engine cloud computing platform for remote sensing big data applications: A comprehensive review," IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens., vol. 13, pp. 5326–5350, 2020.
Quantum-safe cryptography, also known as post-quantum cryptography, is rapidly emerging as a cornerstone for future-proofing cloud security architectures. As quantum computing accelerates toward practical realization, current cryptographic schemes—especially those foundational to cloud trust models—face an existential threat due to quantum algorithms’ potential to break widely utilized methods such as RSA and ECC. This article offers a comprehensive exploration of the transformative shift toward quantum-safe cryptographic primitives, detailing the strategies cloud service providers, enterprises, and governments are deploying to preempt the quantum risk. It delves into the integration challenges, operational complexity, regulatory mandates, performance considerations, and ecosystem readiness associated with post-quantum security. By examining the evolving landscape of cryptographic standards, the interplay between hardware and software solutions, and the required architectural adaptations, the article provides a nuanced forecast for the next decade of cloud security. Across eight thematic sections, it synthesizes insights from leading research initiatives, governmental policy frameworks, and industry trial deployments, presenting forward-thinking recommendations for stakeholders navigating the quantum leap. The necessity for comprehensive cryptographic agility, layered security frameworks, and global collaboration is emphasized, ensuring that data sovereignty, confidentiality, and integrity are preserved across distributed cloud environments. The analysis concludes with a critical assessment of future-proofing strategies, advocating a multidisciplinary approach to achieving quantum resilience in cloud platforms. The article is tailored for professionals, researchers, and policymakers involved in cloud security, cryptography, and digital trust ecosystems, equipping them with actionable intelligence and a strategic roadmap for quantum-safe transformation.