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Smart city article details

Title	A Holistic Model For Security Of Learning Applications In Smart Cities
ID_Doc	2101
Authors	Caviglione, L; Coccoli, M
Year	2020
Published	JOURNAL OF E-LEARNING AND KNOWLEDGE SOCIETY, 16, 1
DOI	http://dx.doi.org/10.20368/1971-8829/1135031
Abstract	Modern learning frameworks take advantage of the interconnection among individuals, multimedia artifacts, places, events, and physical objects. In this perspective, smart cities are primary providers of data, learning stimuli and realistic hands-on laboratories. Unfortunately, the development of smart-city-enabled learning frameworks leads to many privacy and security risks since they are built on top of IoT nodes, wireless sensors networks and cyber-physical systems. To efficiently address such issues, a suitable holistic approach is needed, especially to reveal the interdependence between different actors, e.g., cloud infrastructures, resource-constrained devices and big data sources. Therefore, this paper introduces a model to help the engineering of novel learning frameworks for smart cities by enlightening the problem space characterizing security.
Author Keywords	e-learning; smart cities; privacy and security; big data; model-driven design

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