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On Blockchain and IoT Integration Platforms: Current Implementation Challenges and Future Perspectives

机译:在区块链和IOT集成平台上:当前实施挑战和未来的观点

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摘要

Digitization and automation have engulfed every scope and sphere of life. Internet of Things (IoT) has been the main enabler of the revolution. There still exist challenges in IoT that need to be addressed such as the limited address space for the increasing number of devices when using IPv4 and IPv6 as well as key security issues such as vulnerable access control mechanisms. Blockchain is a distributed ledger technology that has immense benefits such as enhanced security and traceability. Thus, blockchain can serve as a good foundation for applications based on transaction and interactions. IoT implementations and applications are by definition distributed. This means blockchain can help to solve most of the security vulnerabilities and traceability concerns of IoTs by using blockchain as a ledger that can keep track of how devices interact, in which state they are and how they transact with other IoT devices. IoT applications have been mainly implemented with technologies such as cloud and fog computing, and AI to help address some of its key challenges. The key implementation challenges and technical choices to consider in making a successful blockchain IoT (BIoT) project are clearly outlined in this paper. The security and privacy aspect of BIoT applications are also analyzed, and several relevant solutions to improve the scalability and throughput of such applications are proposed. The paper also reviews integration schemes and monitoring frameworks for BIoT applications. A hybrid blockchain IoT integration architecture that makes use of containerization is proposed.
机译:数字化和自动化吞噬了每个范围和生活领域。事情互联网(物联网)一直是革命的主要推动者。 IOT中仍然存在挑战,需要解决,例如使用IPv4和IPv6以及易受攻击的访问控制机制等关键安全问题时,诸如越来越多的设备的有限地址空间。区块链是一种具有巨大益处的分布式分类账技术,例如增强的安全性和可追溯性。因此,基于事务和交互的基础链接可以作为应用的良好基础。 IoT实现和应用程序是根据分析的定义。这意味着BloctChain可以通过使用BlockChain作为分类帐来帮助解决IOTS的大多数安全漏洞和可追溯性问题,该分类帐可以跟踪设备的交互方式,它们是它们的状态以及它们如何与其他物联网交易。 IOT应用程序主要通过云和雾计算等技术实现,以及AI帮助解决其一些关键挑战。在本文中明确概述了在制作成功的SlockChain IOT(BIOT)项目时考虑的关键实施挑战和技术选择。还分析了BIOT应用的安全和隐私方面,提出了几种相关解决方案,以提高这些应用的可扩展性和吞吐量。本文还介绍了Biot应用程序的集成计划和监控框架。提出了利用容器化的混合体组IOT集成架构。

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