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增强能源应用中的数据安全性和隐私性:整合物联网和区块链技术。

Enhancing data security and privacy in energy applications: Integrating IoT and blockchain technologies.

作者信息

Rai Hari Mohan, Shukla Kaustubh Kumar, Tightiz Lilia, Padmanaban Sanjeevikumar

机构信息

School of Computing, Gachon University, 1342 Seongnam-daero, Sujeong-gu, Seongnam-si, 13120, Gyeonggi-do, Republic of Korea.

Department of ECE, Dronacharya Group of Institutions, Greater Noida, India.

出版信息

Heliyon. 2024 Oct 5;10(19):e38917. doi: 10.1016/j.heliyon.2024.e38917. eCollection 2024 Oct 15.

Abstract

The integration of blockchain technology with the IoToffers numerous opportunities to enhance the privacy, security, and integrity. This study comprehensively analyze the challenges, scope, and potential solutions associated with integrating blockchain technology and the IoT, with a specific emphasis on nuclear energy applications. We discuss the roles and various aspects of blockchain and the IoT, highlighting their multiple dimensions and applications. Our study develops a secure data management framework that incorporates encryption, integrity verification, an integrated communication network, and a robust data flow architecture. We explore the several aspects of data security, privacy, and integrity, along with the potential solutions in the integration of blockchain and IoT. The study also investigates the secure transaction process, with a specific focus on cryptographic, mathematical, and algorithmic perspectives. We demonstrated the use of blockchain technology in the nuclear energy sector using flow charts, comprehensively addressing the associated security and privacy concerns. While emphasizing the applicability of our methodology to the nuclear sector, we also acknowledge limitations such as requirements for practical validation, challenges with resource-constrained IoT environments, increasing cyberthreats, and limited real-time data availability. The future scope of our study focuses on standardization, scalable blockchain, post-quantum cryptography, privacy, regulations, real-world testbeds, and deep learning for nuclear sector security. Our findings highlight that the integration of blockchain and IoT can significantly enhance the security and privacy of nuclear energy applications, although practical validation and optimization are necessary.

摘要

区块链技术与物联网的融合为增强隐私性、安全性和完整性提供了众多机会。本研究全面分析了与区块链技术和物联网集成相关的挑战、范围及潜在解决方案,特别强调了核能应用。我们讨论了区块链和物联网的作用及各个方面,突出了它们的多个维度和应用。我们的研究开发了一个安全数据管理框架,该框架包含加密、完整性验证、集成通信网络和强大的数据流架构。我们探讨了数据安全、隐私和完整性的几个方面,以及区块链与物联网集成中的潜在解决方案。该研究还调查了安全交易过程,特别关注加密、数学和算法方面。我们使用流程图展示了区块链技术在核能领域的应用,全面解决了相关的安全和隐私问题。在强调我们的方法对核领域的适用性时,我们也承认存在一些局限性,如实际验证的要求、资源受限的物联网环境带来的挑战、日益增加的网络威胁以及有限的实时数据可用性。我们研究的未来范围集中在标准化、可扩展的区块链、后量子密码学、隐私、法规、实际测试平台以及用于核领域安全的深度学习。我们的研究结果表明,区块链与物联网的融合可以显著增强核能应用的安全性和隐私性,尽管实际验证和优化是必要的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/60b5/11490785/bd00a15fdda0/gr1.jpg

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