Title: Study and review of OSN and SIoT trust models: towards a dynamic MOOC trust model

Authors: Khadija Elghomary; Driss Bouzidi; Najima Daoudi

Addresses: SSL Laboratory, National School of Computer Science and Systems Analysis (ENSIAS), Mohammed V University, Rabat, Morocco ' SSL Laboratory, National School of Computer Science and Systems Analysis (ENSIAS), Mohammed V University, Rabat, Morocco ' Département Génie de données et de connaissances, Information Science School, Rabat, Morocco

Abstract: The lack of collaboration among learners has proven to be an influential factor for their demotivation and disengagement. In MOOCs which are overpopulated by a huge number of learners, with heterogeneous communications and ever-changing behaviours, trust concerns can easily discourage learners to interact among their co-learners. Hence, supporting learners to find trusted peers to collaborate with is a promising solution to overcome this problem. In this paper, we offer a study of certain representative trust models pertaining to online social networks (OSNs) and social internet of things (SIoT). This analysis allows us to reach the following objectives: 1) clearer comprehension of these algorithms and understanding how to assess trust between entities; 2) determine the central elements requested for an efficient trust model; 3) be in a position to elaborate an adapted MOOC trust model.

Keywords: trust models; online social networks; OSNs; social internet of things; SIoT; MOOC platform; social tutoring.

DOI: 10.1504/IJMIS.2020.114796

International Journal of Multimedia Intelligence and Security, 2020 Vol.3 No.4, pp.407 - 431

Received: 31 Jan 2020
Accepted: 27 Jul 2020

Published online: 26 Apr 2021 *

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