Distributed Shuffle Index: Analysis and Implementation in an Industrial Testbed
Enrico Bacis, Alan Barrnet, Andrew Byrne, Sabrina De Capitani di Vimercati, Sara Foresti, Stefano Paraboschi, Marco Rosa, Pierangela Samarati
In Proceedings of the 5th IEEE Conference on Communications and Network Security (CNS)
The protection of content confidentiality as well as of access and pattern confidentiality of data moved to the cloud have been recently the subject of several investigations. The distributed shuffle index addresses these issues by randomly partitioning data among three independent cloud providers. In this paper, we describe the implementation of the distributed shuffle index in the high-performance Dell EMC platform. We first illustrate the main characteristics of the industry testbed and then show the results of our experiments, confirming the limited performance overhead and the practical applicability of the distributed shuffle index in industrial environments.
@InProceedings {bbbdfprs-cnsposter2017,
author = {E. Bacis and A. Barnett and A. Byrne and S. {De Capitani di Vimercati} and S. Foresti and S. Paraboschi and M. Rosa and P. Samarati},
booktitle = {Proc. of the 5th IEEE Conference on Communications and Network Security (CNS 2017)},
title = {Distributed Shuffle Index: Analysis and Implementation in an Industrial Testbed},
address = {Las Vegas, NV, USA},
month = {October},
day = {9-11},
year = {2017},
note = {poster}
}