Secured Reliable Communication Through Authentication and Optimal Relay Selection in Blockchain Enabled Cellular IoT Networks

Abstract

The security and reliability of cellular-based wireless IoT networks are often hindered by eavesdropping attacks. Existing approaches have limitations such as ineffective relay selection, untrusted relay nodes, and improper UAV positioning. In this article, we propose a novel approach that ensure the initial level of security to the UAV relays by enrolling the UAV relay nodes to the edge assisted base stations for initial security and enhances the optimal UAV relay selection using dual-phase optimal relay selection mechanisms. This article performs authentication of UAV relay nodes to enhance security against active eavesdroppers and mitigates the effects of passive eavesdroppers by jointly optimizing power and position based on their actions. This enables eavesdropping resisted secure communication. The proposed approach beats the state-of-the-art algorithm in terms of decreased deployment time and gradually rising efficiency with increasing UEs. The deployment time for the previously presented algorithm is fast expanding, while the proposed integrated deployment algorithm is progressively increasing. The proposed eavesdropping resisted integration technique harvests an overlay complexity tendency due to its hybrid solution, enhancing system stability and minimising system complexity. The results show that the recommended algorithm is superior in terms of both reliability and complexity. When iteration count is minimal (i.e., when UAVs are dispersed alone and when the deployment of UAVs are done using fixed BSs), the proposed method and the completely distributed have a comparable but lowest complexity as they outperform one another in different scenarios. Our proposed approach provides a possible solution to existing issues and contributes to the progress of secure and reliable communication in cellular-based wireless IoT networks.

UAV-Based Secure Data Communication: Multilevel Authentication Perspective

“…The IoUAV enables UAVs to detect physical phenomena through built-in sensors and capture images and videos through onboard cameras. The collected data are then transmitted to the UAV's control box using wireless technologies like WiFi [8,9]. However, it is crucial to address security concerns when it comes to UAV technology.…”