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Supporting User Protection Requirements in Cloud-Based Data Outsourcing

Articolo
Data di Pubblicazione:
2023
Citazione:
Supporting User Protection Requirements in Cloud-Based Data Outsourcing / S. De Capitani di Vimercati, S. Foresti, G. Livraga, P. Samarati. - In: SN COMPUTER SCIENCE. - ISSN 2661-8907. - 4:4(2023 Jul), pp. 340.1-340.16. [10.1007/s42979-023-01707-2]
Abstract:
The cloud is nowadays widely used for storing and managing data, and leveraging scalable and flexible IT infrastructures while guaranteeing continuous data and application availability from anywhere at any time. The cloud market is characterized by a rich and diversified offering that usually comes as predefined configurations (plans), which can be adopted to outsource data collections. Such plans exhibit different features and characteristics, which make different plans suitable to different scenarios. Seemingly a trivial problem, selecting a plan that responds well to the needs of a data owner is actually far from easy. In fact, the problem entails a number of challenges that need to be carefully addressed, ranging from representing and reasoning on plans’ characteristics, to permitting data owners to formulate (and have enforced) expressive requirements to identify an optimal (combination of) plan(s) without requiring deep technical knowledge of the cloud technology and jargon. In this paper, we address this problem, discussing some of its main challenges, and illustrating some research directions and state-of-the-art solutions.
Tipologia IRIS:
01 - Articolo su periodico
Keywords:
Cloud plan modeling; Cloud plan selection; Data security and privacy; Requirements specification language; User protection requirements
Elenco autori:
S. De Capitani di Vimercati, S. Foresti, G. Livraga, P. Samarati
Autori di Ateneo:
DE CAPITANI DI VIMERCATI SABRINA ( autore )
FORESTI SARA ( autore )
LIVRAGA GIOVANNI ( autore )
SAMARATI PIERANGELA ( autore )
Link alla scheda completa:
https://air.unimi.it/handle/2434/969418
Link al Full Text:
https://air.unimi.it/retrieve/handle/2434/969418/2199249/s42979-023-01707-2.pdf
Progetto:
Machine Learning-based, Networking and Computing Infrastructure Resource Management of 5G and beyond Intelligent Networks (MARSAL)
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