We present a novel approach for guaranteeing access privacy to data stored at an external cloud provider. Our solution relies on the grouping of resources into buckets then organized with a binary search tree. The tree is built on an index computed in a non-invertible non-order preserving way, and supports efficient key-based retrieval. Our approach to provide access privacy builds on this data organization providing uniform observability to the server in access execution and dynamically changing not only the physical storage allocation, but also the logical structure itself. Our analysis and experimental evaluation show the effectiveness of our approach.
A dynamic tree-based data structure for access privacy in the cloud / S. De Capitani di Vimercati, S. Foresti, R. Moretti, S. Paraboschi, G. Pelosi, P. Samarati - In: International Conference on Cloud Computing Technology and Science, CloudCom[s.l] : IEEE, 2017 Dec. - ISBN 9781509014453. - pp. 391-398 (( Intervento presentato al 8. convegno International Conference on Cloud Computing Technology and Science tenutosi a Luxembourg nel 2016 [10.1109/CloudCom.2016.0068].
A dynamic tree-based data structure for access privacy in the cloud
S. De Capitani di Vimercati;S. Foresti;P. Samarati
2017
Abstract
We present a novel approach for guaranteeing access privacy to data stored at an external cloud provider. Our solution relies on the grouping of resources into buckets then organized with a binary search tree. The tree is built on an index computed in a non-invertible non-order preserving way, and supports efficient key-based retrieval. Our approach to provide access privacy builds on this data organization providing uniform observability to the server in access execution and dynamically changing not only the physical storage allocation, but also the logical structure itself. Our analysis and experimental evaluation show the effectiveness of our approach.File | Dimensione | Formato | |
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