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Conference Papers Year : 2021

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

Abstract

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 assigns 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 phasebased 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).
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Dates and versions

hal-03322831 , version 1 (19-08-2021)

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Runbo Su, Arbia Riahi Sfar, Enrico Natalizio, Pascal Moyal, Ye-Qiong Song. PDTM: Phase-based dynamic trust management for Internet of things. ICCCN 2021 - 30th International Conference on Computer Communications and Networks, Jul 2021, Athens/Virtual, Greece. pp.1-7, ⟨10.1109/ICCCN52240.2021.9522234⟩. ⟨hal-03322831⟩
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