Smart devices are connected to IoT networks and the security risks are substantial. Using blockchain technology, which is decentralized and distributed, 5G-enabled IoT networks might be able to tackle security issues. In order to simplify the implementation and security of IoT networks, we propose a multi-level blockchain security model. As part of the multi-level architecture, the communication between levels is facilitated by clustering. IoT networks define unknown clusters with applications that utilize the evolutionary computation method coupled with anatomy simulation and genetic methodologies. Authentication and authorization are performed locally by the super node. The super node and relevant base stations can communicate using local private blockchain implementations. A blockchain improves security and enhances trustworthiness by providing network authentication and credibility assurance. The proposed model is developed using the open-source Hyperledger Fabric blockchain platform. Stations communicate securely using a global blockchain. Compared to the earlier reported clustering algorithms, simulations demonstrate the efficacy of the proposed algorithm. In comparison with the global blockchain, the lightweight blockchain is more suitable for balancing network throughput and latency.

The Internet of Things (IoT) refers to the network of interconnected devices that can communicate and share data over the Internet. The widespread adoption of smart devices within Internet of Things (IoT) networks poses considerable security challenges for their communication. To address these issues, blockchain technology, known for its decentralized and distributed nature, offers potential solutions within consensus-based authentication in IoT networks. This paper presents a novel approach called the local and global layer blockchain model, which aims to enhance security while simplifying implementation. The model leverages the concept of clustering to establish a local-global architecture, with cluster heads assuming responsibility for local authentication and authorization. Implementing a local private blockchain facilitates seamless communication between cluster heads and relevant base stations. This blockchain implementation enhances credibility assurance, strengthens security, and provides an effective network authentication mechanism. Simulation results indicate that the proposed algorithm outperforms previously reported methods. The proposed model achieved an average coverage per node of 0.9, which is superior to baseline models. Additionally, the lightweight blockchain model proposed in this paper demonstrates superior capabilities in achieving balanced network latency and throughput compared to traditional global blockchain approaches.

The rapidly expanding realm of the Internet of Things (IoT) has revolutionized industries and daily lives, interlinking myriad devices from smart home gadgets to intricate industrial sensors. However, this expansion brings forth pressing concerns about the security and integrity of data exchanges within such vast networks. This research delves into an innovative approach, termed “Chain-Digital”, which seeks to fortify IoT security by integrating the capabilities of Chain Core, a permissioned blockchain platform with the tried-and-true protection offered by cryptographic signatures. Through an exhaustive exploration, this paper highlights the existing vulnerabilities in the IoT domain and underscores the limitations of traditional centralized security models. The Chain Core platform, with its decentralized nature, provides a foundation for distributed trust and data immutability, while cryptographic signatures ensure authentication and data integrity. By amalgamating these technologies, “Chain-Digital” emerges as a multi-layered defense mechanism, promising enhanced security in the diverse and dynamic IoT landscape. Our findings indicate that this symbiotic integration not only addresses prevalent security gaps but also paves the way for a standardized, scalable, and trustworthy IoT framework. This research holds profound implications for manufacturers, developers, policymakers, and end-users, offering insights into constructing a more secure and resilient IoT future.