Trust-Centric Security Architecture For The Internet of Things: Models, Algorithms, and Applications

The Internet of Things (IoT) has emerged as a transformative technology, enabling seamless connectivity among devices and facilitating intelligent decision-making across numerous domains. However, the widespread deployment of IoT networks has introduced significant security concerns due to the heterogeneous and resource-constrained nature of IoT devices. Traditional security methods are often inadequate in addressing these challenges. This paper explores the application of trust management algorithms as a novel approach to securing IoT networks. By quantifying trust based on behavior, interaction, and historical data, trust management frameworks enhance resilience against common security threats, including malicious node activity, data tampering, and insider attacks. The paper presents a comparative analysis of prominent trust management algorithms, proposes an integrated trust-based security framework, and discusses potential future research directions.