QSKCG: Quantum-based secure key communication and key generation scheme for outsourced data in cloud

IF 1.5 4区 计算机科学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING Concurrency and Computation-Practice & Experience Pub Date : 2024-06-11 DOI:10.1002/cpe.8192
Vamshi Adouth, Eswari Rajagopal
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Abstract

In the era of digital proliferation, individuals opt for cloud servers to store their data due to the diverse advantages they offer. However, entrusting data to cloud servers relinquishes users' control, potentially compromising data confidentiality and integrity. Traditional auditing methods designed to ensure data integrity in cloud servers typically depend on Trusted Third Party Auditors. Yet, many of these existing auditing approaches grapple with intricate certificate management and key escrow issues. Furthermore, the imminent threat of powerful quantum computers poses a risk of swiftly compromising these methods in polynomial time. To overcome these challenges, this paper introduces a Quantum-based Secure Key Communication and Key Generation Scheme QSKCG for Outsourced Data in the Cloud. Leveraging Elliptic Curve Cryptography, the BB84 secure communication protocol, certificateless signature, and blockchain network, the proposed scheme is demonstrated through security analysis, affirming its robustness and high efficiency. Additionally, performance analysis underscores the practicality of the proposed scheme in achieving post-quantum security in cloud storage.

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QSKCG:基于量子的云端外包数据安全密钥通信和密钥生成方案
在数字化激增的时代,由于云服务器具有多种优势,个人会选择云服务器来存储数据。然而,将数据委托给云服务器会放弃用户的控制权,从而有可能损害数据的机密性和完整性。旨在确保云服务器中数据完整性的传统审计方法通常依赖于可信第三方审计员。然而,许多现有的审计方法都在努力解决错综复杂的证书管理和密钥托管问题。此外,强大量子计算机的威胁迫在眉睫,有可能在多项式时间内迅速破坏这些方法。为了克服这些挑战,本文介绍了一种用于云端外包数据的基于量子的安全密钥通信和密钥生成方案 QSKCG。利用椭圆曲线加密技术、BB84 安全通信协议、无证书签名和区块链网络,本文通过安全分析展示了所提出的方案,肯定了其稳健性和高效性。此外,性能分析强调了拟议方案在实现云存储后量子安全方面的实用性。
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来源期刊
Concurrency and Computation-Practice & Experience
Concurrency and Computation-Practice & Experience 工程技术-计算机:理论方法
CiteScore
5.00
自引率
10.00%
发文量
664
审稿时长
9.6 months
期刊介绍: Concurrency and Computation: Practice and Experience (CCPE) publishes high-quality, original research papers, and authoritative research review papers, in the overlapping fields of: Parallel and distributed computing; High-performance computing; Computational and data science; Artificial intelligence and machine learning; Big data applications, algorithms, and systems; Network science; Ontologies and semantics; Security and privacy; Cloud/edge/fog computing; Green computing; and Quantum computing.
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