基于区块链的量子抗性签名算法,用于云和万物互联中的数据完整性验证

P. Shrivastava, Bashir Alam, Mansaf Alam
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引用次数: 0

摘要

简介:万物互联(IoE)平台的处理和存储能力受到限制,但云可以随时提供高效的计算资源和可扩展的存储。最近,万物互联(IoE)通过多种方式利用云资源扩展了自己的能力。云服务提供商(CSP)提供可存储额外数据的存储资源。这些方法可用于在 CSP 上存储用户数据,同时保持数据的完整性和安全性。尽管 CSP 的存储设备高度集中,但恶意系统破坏等问题会危及数据的安全存储。最近,由于使用区块链技术保护传输到网络的数据,在安全性方面取得了实质性进展。此外,该系统的包容性功效也得到了增强,与早期系统相比,成本更低。目标:本研究的主要目的是提出一种基于区块链的数据完整性验证方案,以提供更高的可扩展性和云资源利用率,同时防止进入云的数据被破坏。方法:本文提出了一种新颖的区块链实现方法,以增强云中数据存储的安全性。结果:模拟结果表明,所提出的方法在数据安全性和数据完整性方面更为有效。此外,比较调查表明,所提出的方法远比现有方法更有效、更有能力。结论:模型评估表明,建议的方法在数据安全方面相当有效。
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Blockchain based Quantum Resistant Signature Algorithm for Data Integrity Verification in Cloud and Internet of Everything
  INTRODUCTION: The processing and storage capacities of the Internet of Everything (IoE) platform are restricted, but the cloud can readily provide efficient computing resources and scalable storage. The Internet of Everything (IoE) has expanded its capabilities recently by employing cloud resources in multiple ways. Cloud service providers (CSP) offer storage resources where extra data can be stored. These methods can be used to store user data over the CSP while maintaining data integrity and security. The secure storage of data is jeopardized by concerns like malicious system damage, even though the CSP's storage devices are highly centralized. Substantial security advancements have been made recently as a result of using blockchain technology to protect data transported to networks. In addition, the system's inclusive efficacy is enhanced, which lowers costs in comparison to earlier systems. OBJECTIVES: The main objective of the study is to a blockchain-based data integrity verification scheme is presented to provide greater scalability and utilization of cloud resources while preventing data from entering the cloud from being corrupted. METHODS: In this paper, we propose a novel method of implementing blockchain in order to enhance the security of data stores in cloud. RESULTS: The simulations indicate that the proposed approach is more effective in terms of data security and data integrity. Furthermore, the comparative investigation demonstrated that the purported methodology is far more effective and competent than prevailing methodologies. CONCLUSIONS: The model evaluations demonstrated that the proposed approach is quite effective in data security.
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