An information security model based on trustworthiness for enhancing security in on-line collaborative learning

Author: Jorge Miguel Moneo
Programme: Doctoral Programme in Network and Information Technologies
Language: English
Supervisors: Dr. Santi Caballé and Dr. Dr. Fatos Xhafa
Faculty / Institute: Doctoral School UOC
Subjects: Computer Science
Key words: e-Learning, e-assessment, information security, on-line collaborative learning, trustworthiness, prediction

Area of knowledge: Network and Information Technologies

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Summary

This thesis' main goal is to incorporate information security properties and services into online collaborative learning using a functional approach based on trustworthiness assessment and prediction. As a result, this thesis aims to design an innovative security solution, based on methodological approaches, to provide e-learning designers and managers with guidelines for incorporating security into online collaborative learning. These guidelines include all processes involved in e-learning design and management, such as security analysis, learning activity design, detection of anomalous actions, trustworthiness data processing, and so on. The subject of this research is multidisciplinary in nature, with the different disciplines comprising it being closely related. The most significant ones are online collaborative learning, information security, learning management systems (LMS), and trustworthiness assessment and prediction models. Against this backdrop, the problem of securing collaborative online learning activities is tackled by a hybrid model based on functional and technological solutions, namely, trustworthiness modelling and information security technologies.