Moving data to the cloud represents today a growing trend as it provides considerable advantages, both in terms of economy of scale and flexibility/elasticity for data owners. In such a scenario, there is however a clear need for solutions aimed at protecting the confidentiality of (sensitive) data and accesses. In this chapter, we illustrate some solutions proposed in the literature for protecting access confidentiality and classify them, depending on the underlying data structure used for data storage and support for access operations, in two classes: (i) ORAM-based approaches, and (ii) dynamically allocated data structures.
Access Privacy in the Cloud / S. De Capitani di Vimercati, S. Foresti, S. Paraboschi, G. Pelosi, P. Samarati (LECTURE NOTES IN COMPUTER SCIENCE). - In: From Database to Cyber Security : Essays Dedicated to Sushil Jajodia on the Occasion of his 70th Birthday / [a cura di] P. Samarati, I. Ray, I. Ray. - [s.l] : Springer, 2018 Nov 30. - ISBN 9783030048334. - pp. 186-205 [10.1007/978-3-030-04834-1_10]
Access Privacy in the Cloud
S. De Capitani di Vimercati;S. Foresti;P. Samarati
2018
Abstract
Moving data to the cloud represents today a growing trend as it provides considerable advantages, both in terms of economy of scale and flexibility/elasticity for data owners. In such a scenario, there is however a clear need for solutions aimed at protecting the confidentiality of (sensitive) data and accesses. In this chapter, we illustrate some solutions proposed in the literature for protecting access confidentiality and classify them, depending on the underlying data structure used for data storage and support for access operations, in two classes: (i) ORAM-based approaches, and (ii) dynamically allocated data structures.File | Dimensione | Formato | |
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