Security and privacy in the TeSLA architecture

Autor: Malinka Ivanova, Anna Rozeva, Joaquin Garcia-Alfaro, Christophe Kiennert
Přispěvatelé: Département Réseaux et Services de Télécommunications (RST), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP), Réseaux, Systèmes, Services, Sécurité (R3S-SAMOVAR), Services répartis, Architectures, MOdélisation, Validation, Administration des Réseaux (SAMOVAR), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP)-Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP), Institut Polytechnique de Paris (IP Paris), Technical University of Sofia [Bulgaria] (TU-Sofia)
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: Engineering data-driven adaptive trust-based e-assessment systems: challenges and infrastructure solutions
Engineering data-driven adaptive trust-based e-assessment systems: challenges and infrastructure solutions, 34, Springer, pp.85-108, 2020, Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT), 978-3-030-29325-3. ⟨10.1007/978-3-030-29326-0_5⟩
Engineering Data-Driven Adaptive Trust-based e-Assessment Systems ISBN: 9783030293253
Popis: International audience; In this chapter, we address security and privacy aspects in TeSLA, from a technical standpoint. The chapter is structured in three main parts. Firstly, we outline the main concepts underlying security in TeSLA, with regards to the protection of learners’ data and the architecture itself. Secondly, we provide an empirical analysis of a specific deployment in one of the members of the consortium. Some representative aspects such as security levels in terms of storage, processing and transfer are analyzed in the deployment of TeSLA at the Technical University of Sofia. In the third part, we address identity management issues and outline additional efforts we consider worth exploring.
Databáze: OpenAIRE