Internet of Things (IoT) data is one of the most important assets in business models for offering various ubiquitous and brilliant services. The IoT is provided with the advantage of susceptibility that cybercriminals and other malicious users. Even though smart cities are intended to extend productivity and efficiency, residents and authorities face risks when they avoid cybersecurity. The conventional blockchain methods were introduced to ensure the secure management and examination of the smart city big data. But, the blockchains are found to have computationally high costs, and failed to improve the security, not adequate resource-constrained IoT devices have been designated for smart cities. In order to address these issues, the proposed novel blockchain model called blockchain secured Merkle hash zero correlation distinguisher (BSMH-ZCD) is suitable for IoT devices within the cloud infrastructure. The objective of the BSMH-ZCD method is to enhance security and reduce the run time and computational overhead. Initially, the Merkle hash tree is used to create the hash value with every transaction. Next, the zero correlation distinguisher is applied to perform the data encryption and decryption operation for the ARX block for obtaining proficient secure data access in the IoT devices. Experimental assessment of the proposed BSMH-ZCD method and existing methods are carried out by using the taxi driver data set and Novel Corona Virus 2019 data set with different factors, such as running time, computational complexity, and security with respect to a number of blocks and executions. By using the taxi driver data set, the experimental results reveal that the BSMH-ZCD method performs better with a 19% improvement in security, 20% reduction of computational complexity, and 29% faster running time for IoT compared to existing works.

中文翻译：

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使用 Merkle 哈希零相关鉴别器在智能城市中的 IoT 的区块链安全性

物联网 (IoT) 数据是商业模式中最重要的资产之一，可提供各种无处不在的卓越服务。物联网具有网络犯罪分子和其他恶意用户易受攻击的优势。尽管智慧城市旨在提高生产力和效率，但居民和当局在规避网络安全时仍面临风险。引入传统的区块链方法，确保智慧城市大数据的安全管理和审查。但是，发现区块链的计算成本很高，并且未能提高安全性，没有为智慧城市指定足够的资源受限的物联网设备。为了解决这些问题，提出的称为区块链安全默克尔哈希零相关区分器（BSMH-ZCD）的新型区块链模型适用于云基础设施内的物联网设备。BSMH-ZCD 方法的目标是增强安全性并减少运行时间和计算开销。最初，Merkle 哈希树用于为每笔交易创建哈希值。接下来，应用零相关区分器对 ARX 块执行数据加密和解密操作，以获得物联网设备中熟练的安全数据访问。使用出租车司机数据集和 Novel Corona Virus 2019 数据集对所提出的 BSMH-ZCD 方法和现有方法进行了实验评估，这些数据集具有不同的因素，例如运行时间、计算复杂度、和许多块和执行的安全性。通过使用出租车司机数据集，实验结果表明，与现有工作相比，BSMH-ZCD 方法的性能更好，安全性提高了 19%，计算复杂度降低了 20%，物联网运行时间加快了 29%。