Applications of blockchain technology in privacy preserving and data security for real time (data) applications

IF 1.5 4区 计算机科学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING Concurrency and Computation-Practice & Experience Pub Date : 2024-09-10 DOI:10.1002/cpe.8277
Sushama A. Deshmukh, Smita Kasar
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Abstract

Blockchain (BC) technology has been incorporated into the infrastructure of different kinds of applications that require transparency, reliability, security, and traceability. However, the BC still has privacy issues because of the possibility of privacy leaks when using publicly accessible transaction information, even with the security features offered by BCs. Specifically, certain BCs are implementing security mechanisms to address data privacy to prevent privacy issues, facilitates attack-resistant digital data sharing and storage platforms. Hence, this proposed review aims to give a comprehensive overview of BC technology, to shed light on security issues related to BC, and to emphasize the privacy requirements for existing applications. Many proposed BC applications in asset distribution, data security, the financial industry, the Internet of Things, the healthcare sector, and AI have been explored in this article. It presents necessary background knowledge about BC and privacy strategies for obtaining these security features as part of the evaluation. This survey is expected to assist readers in acquiring a complete understanding of BC security and privacy in terms of approaches, ideas, attributes, and systems. Subsequently, the review presents the findings of different BC works, illustrating several efforts that tackled privacy and security issues. Further, the review offers a positive strategy for the previously described integration of BC for security applications, emphasizing its possible significant gaps and potential future development to promote BC research in the future.

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区块链技术在实时(数据)应用的隐私保护和数据安全方面的应用
摘要区块链(BC)技术已被纳入需要透明度、可靠性、安全性和可追溯性的各类应用的基础设施中。然而,由于在使用可公开访问的交易信息时可能会泄露隐私,即使 BC 具有安全功能,BC 仍然存在隐私问题。具体而言,某些业连正在实施安全机制来解决数据隐私问题,以防止隐私问题,促进抗攻击的数字数据共享和存储平台。因此,本综述旨在全面介绍业务连续性技术,阐明与业务连续性有关的安全问题,并强调现有应用的隐私要求。本文探讨了在资产分配、数据安全、金融业、物联网、医疗保健行业和人工智能领域提出的许多业连应用。文章介绍了有关业务连续性的必要背景知识,以及作为评估一部分的获取这些安全功能的隐私策略。这项调查有望帮助读者从方法、理念、属性和系统等方面全面了解业连安全和隐私。随后,综述介绍了不同业连作品的研究成果,说明了解决隐私和安全问题的几项工作。此外,该综述还为之前描述的将业务连续性整合到安全应用中提供了积极的策略,强调了其可能存在的重大差距和潜在的未来发展,以促进未来的业务连续性研究。
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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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