PDTM: Phase-based dynamic trust management for Internet of things

Preventing the negative effects caused by misbehaving of nodes or malicious intrusions is an essential task in trust management (TM) for the Internet of Things (IoT). Although many TM models have been proposed and developed, the majority of these approaches assign nodes trust scores by means of a single static evaluation mechanism without taking into consideration the heterogeneity of IoT nodes and network segments, and the challenges posed by context awareness and scalability. Thus, an applicable TM model is needed to overcome these limitations. In this paper, a phase-based dynamic TM (PDTM) model is proposed. This model enables nodes’ trust scores to be calculated diversely and dynamically in terms of phases. Finally, numerical results show the effectiveness and the accuracy of the proposed model, and resilience against various types of trust-related attacks (TRA).