In recent years, the Green Internet of Things (G-IoT) has gained a lot of attention to developing energy-efficient communication systems. It consists of electronic devices and is integrated with numerous tight constraint sensors for observing the real world and provide communication services to end-users. However, optimal data collection and its management among the heterogeneous G-IoT objects are one of the main challenges. Many researchers are still proposing different solutions to cope with such problems and offering IoT-cloud paradigms for processing, storage, and scalability services However, the data of smart cities is forwarding among connected users using the open-source IoT platform, and sensitive information may be compromised. Therefore, this research aims to propose a model of security measures using the Green Internet of Things with Cloud Integrated Data Management (M-SMDM) for Smart Cities. Firstly, it forms a long-run and energy-efficient connectivity using self-balancing trees and distributing load factors uniformly in green communication systems. Secondly, it addresses the secret key distribution problem between peer nodes and attained trust for both partial and direct communication. In the end, it securing the transmission system from mobile gateways to cloud infrastructure against threats with improved data latency. The security analysis of the proposed M-SMDM model is done along with simulation-based experiments. The attained results disclose the importance of the proposed model in terms of network parameters compared to existing work.

近年来，绿色物联网（G-IoT）在开发节能通信系统方面受到了很多关注。它由电子设备组成，并与众多紧密约束的传感器集成在一起，用于观察现实世界并为最终用户提供通信服务。然而，异构 G-IoT 对象之间的最佳数据收集及其管理是主要挑战之一。许多研究人员仍在提出不同的解决方案来应对此类问题，并提供物联网云范式进行处理、存储和可扩展服务。然而，智慧城市的数据正在使用开源物联网平台的连接用户之间转发，敏感信息可能被妥协。所以，本研究旨在提出一种使用绿色物联网和云集成数据管理 (M-SMDM) 的智能城市安全措施模型。首先，它在绿色通信系统中使用自平衡树和均匀分布负载因子形成长期和节能的连接。其次，它解决了对等节点之间的密钥分发问题，并获得了部分和直接通信的信任。最后，它保护从移动网关到云基础设施的传输系统免受威胁，并改善数据延迟。所提出的 M-SMDM 模型的安全性分析是与基于仿真的实验一起完成的。与现有工作相比，所获得的结果揭示了所提出模型在网络参数方面的重要性。