Relying on the cloud for storing data and performing computations has become a popular solution in today’s society, which demands large data collections and/or analysis over them to be readily available, for example, to make knowledge-based decisions. While bringing undeniable benefits to both data owners and end users accessing the outsourced data, moving to the cloud raises a number of issues, ranging from choosing the most suitable cloud provider for outsourcing to effectively protecting data and computation results. In this paper, we discuss the main issues related to data protection arising when data and/or computations over them are moved to the cloud. We also illustrate possible solutions and approaches for addressing such issues.

Data Security and Privacy in the Cloud / S. De Capitani di Vimercati, S. Foresti, G. Livraga, P. Samarati (PROCEEDINGS OF SPIE, THE INTERNATIONAL SOCIETY FOR OPTICAL ENGINEERING). - In: Mobile Multimedia/Image Processing, Security, and Applications 2019 / [a cura di] S.S. Agaian, V.K. Asari, S.P. DelMarco. - [s.l] : SPIE, 2019 May 13. - ISBN 9781510626515. - pp. 1-13 (( convegno SPIE Defense + Commercial Sensing tenutosi a Baltimora nel 2019.

Data Security and Privacy in the Cloud

S. De Capitani di Vimercati;S. Foresti;G. Livraga;P. Samarati
2019-05-13

Abstract

Relying on the cloud for storing data and performing computations has become a popular solution in today’s society, which demands large data collections and/or analysis over them to be readily available, for example, to make knowledge-based decisions. While bringing undeniable benefits to both data owners and end users accessing the outsourced data, moving to the cloud raises a number of issues, ranging from choosing the most suitable cloud provider for outsourcing to effectively protecting data and computation results. In this paper, we discuss the main issues related to data protection arising when data and/or computations over them are moved to the cloud. We also illustrate possible solutions and approaches for addressing such issues.
Data security; privacy; cloud computing; emerging scenarios
Settore INF/01 - Informatica
Multi-Owner data Sharing for Analytics and Integration respecting Confidentiality and Owner control (MOSAICrOWN)
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/2434/645921
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