M-SMDM: A model of security measures using Green Internet of Things with Cloud Integrated Data Management for Smart Cities

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 forwarded 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 problem of secret key distribution between peer nodes and attained trust for both partial and direct communication. In the end, it securing the transmission system from mobile gateways to application users against threats with improved overheads and 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