[论文解读] Towards a Novel Privacy-Preserving Distributed Multiparty Data Outsourcing Scheme for Cloud Computing with Quantum Key Distribution

D. Dhinakaran, D. Selvaraj+3 more|arXiv (Cornell University)|Jul 9, 2024

Cloud Data Security Solutions被引用 21

一句话总结

提出一个结合量子密钥分发、CRYSTALS Kyber 和零知识证明的隐私保护框架，以对抗量子威胁，并对加密、密钥生成和系统效率进行性能评估。

ABSTRACT

The intersection of cloud computing, blockchain technology, and the impending era of quantum computing presents a critical juncture for data security. This research addresses the escalating vulnerabilities by proposing a comprehensive framework that integrates Quantum Key Distribution (QKD), CRYSTALS Kyber, and Zero-Knowledge Proofs (ZKPs) for securing data in cloud-based blockchain systems. The primary objective is to fortify data against quantum threats through the implementation of QKD, a quantum-safe cryptographic protocol. We leverage the lattice-based cryptographic mechanism, CRYSTALS Kyber, known for its resilience against quantum attacks. Additionally, ZKPs are introduced to enhance data privacy and verification processes within the cloud and blockchain environment. A significant focus of this research is the performance evaluation of the proposed framework. Rigorous analyses encompass encryption and decryption processes, quantum key generation rates, and overall system efficiency. Practical implications are scrutinized, considering factors such as file size, response time, and computational overhead. The evaluation sheds light on the framework's viability in real-world cloud environments, emphasizing its efficiency in mitigating quantum threats. The findings contribute a robust quantum-safe and ZKP-integrated security framework tailored for cloud-based blockchain storage. By addressing critical gaps in theoretical advancements, this research offers practical insights for organizations seeking to secure their data against quantum threats. The framework's efficiency and scalability underscore its practical feasibility, serving as a guide for implementing enhanced data security in the evolving landscape of quantum computing and blockchain integration within cloud environments.

研究动机与目标

• 解决基于云的区块链系统在量子时代的数据安全漏洞。
• 设计使用 QKD、Kyber 和 ZKPs 的隐私保护外包框架。
• 在实际云环境中评估加密/解密性能、密钥生成速率及整体系统效率。

提出的方法

• 将量子密钥分发 (QKD) 与基于格的 CRYSTALS Kyber 融合，用于量子安全密码学。
• 将零知识证明 (ZKPs) 结合以提升云和区块链环境中的数据隐私和验证。
• 在实际参数（如文件大小、响应时间、计算开销）下评估加密/解密性能、量子密钥生成速率和整体系统效率。
• 分析该框架在真实云端区块链存储中的实用性、可扩展性和可行性。

实验结果

研究问题

• RQ1 如何将 QKD 与后量子格基密码学结合以保护云端区块链数据外包？
• RQ2 在这个量子安全云环境中，零知识证明在提升隐私和验证中扮演什么角色？
• RQ3 在现实云环境中，所提框架在加密/解密、密钥生成速率、时延、开销方面的性能影响有哪些？

主要发现

• 该框架将 QKD、CRYSTALS Kyber 与 ZKPs 结合起来，以应对云端区块链存储中的量子威胁。
• 性能评估包括加密/解密过程、量子密钥生成速率以及整体系统效率。
• 研究讨论了诸如文件大小、响应时间和计算开销等实际影响，突显该框架在真实云环境中的可行性。