A Trust Management Architecture for Energy Efficient Mobile IoT

In mobile IoT applications, managing connectivity, security, and data exchange presents significant challenges. Mobility introduces critical issues such as seamless handovers between networks, energy efficiency in battery-powered devices, and the maintenance of stable connections despite fluctuating network conditions. Additionally, ensuring the security and privacy of IoT devices becomes even more complex when they are in motion, as they may encounter untrusted networks, unauthorized access attempts, or data interception threats. While IoT offers vast opportunities, mobility introduces an additional layer of complexity. It requires robust network management, strengthened security protocols, and optimized data handling strategies to ensure seamless, reliable, and uninterrupted connectivity A fundamental question arises: when a node moves from one network to another, how can the new network assess its trustworthiness and seamlessly integrate it? In this paper, we propose a novel solution to address this challenge by leveraging clustering, software-defined networks (SDN), and machine learning algorithms. Our approach ensures that mobile IoT nodes are reliably assessed and securely integrated into new networks, all while maintaining seamless connectivity energy efficiency and robust security.