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.

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]

Supporting User Protection Requirements in Cloud-Based Data Outsourcing

S. De Capitani di Vimercati
Primo
;
S. Foresti
Secondo
;
G. Livraga
Penultimo
;
P. Samarati
Ultimo
2023

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.
No
English
Cloud plan modeling; Cloud plan selection; Data security and privacy; Requirements specification language; User protection requirements
Settore INF/01 - Informatica
Articolo
Esperti anonimi
Pubblicazione scientifica
   Machine Learning-based, Networking and Computing Infrastructure Resource Management of 5G and beyond Intelligent Networks (MARSAL)
   MARSAL
   EUROPEAN COMMISSION
   101017171

   Green responsibLe privACy preservIng dAta operaTIONs
   GLACIATION
   EUROPEAN COMMISSION

   Edge AI Technologies for Optimised Performance Embedded Processing (EdgeAI)
   EdgeAI
   MINISTERO DELLO SVILUPPO ECONOMICO
   101097300

   High quality Open data Publishing and Enrichment (HOPE)
   HOPE
   MINISTERO DELL'ISTRUZIONE E DEL MERITO
   2017MMJJRE_003

   SEcurity and RIghts in the CyberSpace (SERICS)
   SERICS
   MINISTERO DELL'UNIVERSITA' E DELLA RICERCA
   codice identificativo PE00000014
lug-2023
20-apr-2023
Springer
4
4
340
1
16
16
Pubblicato
Periodico con rilevanza internazionale
https://link.springer.com/epdf/10.1007/s42979-023-01707-2?sharing_token=eFriOMgTSJA40AAPI0sp0_e4RwlQNchNByi7wbcMAY4p5njhUEGUPD3FFX0UWc9xxDMZRXSLTzOSQr0NHZafTF57Ug0LDPXbznIK1nMgsZkg16Kd6ptQVjYWHeUzLZtuRKhWNQ_jZS3zVeUvDdgZSu-3GNCLzRNDZgh0qz7tzVA=
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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]
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Prodotti della ricerca::01 - Articolo su periodico
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Article (author)
Periodico senza Impact Factor
S. De Capitani di Vimercati, S. Foresti, G. Livraga, P. Samarati
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/969418
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