The Survey On Trust Management in Internet of Things

ABSTRACT

The future Internet of Things (IoT) system connects the physical world into cyberspace via billions of intelligent sensors and devices. The physical network’s service-oriented architecture (SOA) establishes interoperability among different IoT devices. This connection between various devices has resulted in the heterogeneous nature of IoT networks. Thus, the IoT system imperatively calls for human-to-machine (H2M) and machine-to-machine (M2M) communication. This multi-billion connection of devices of the system architecture has raised some security and management challenges. Traditional security techniques like cryptography and authentication schemes may not remedy the situation because adversaries might subvert the network. Trust management in the Internet of Things system has become imperative because of its scalability, applicability, and robustness. Trust compositions dynamically estimate the information nodes provide to others in the network. The trust paradigm remains a promising approach to enhance service maximization in the IoTs network. The survey investigates the different trust evaluations, threat models, computational models, their lapses, and possible recommendations for effective system management.

Keywords: Internet-of-Things (IoTs), Service -Oriented Architecture (SOA), Entity-Centric-Trust (ECT), Data-Centric-Trust (DCT), Machine-to-Machine (M2M), Evidence-Base-Trust (EVT)