The Melbourne Shuffle: Improving Oblivious Storage in the Cloud
Olga Ohrimenko, Michael T. Goodrich, Roberto Tamassia, Eli Upfal

TL;DR
This paper introduces a novel, efficient, and secure data-oblivious shuffle algorithm that enhances cloud storage privacy without relying on sorting, improving existing data outsourcing solutions.
Contribution
The paper presents the first secure data-oblivious shuffle algorithm not based on sorting, advancing privacy-preserving data storage techniques.
Findings
The shuffle algorithm is simple and efficient.
It improves privacy in cloud storage solutions.
It outperforms previous sorting-based methods.
Abstract
We present a simple, efficient, and secure data-oblivious randomized shuffle algorithm. This is the first secure data-oblivious shuffle that is not based on sorting. Our method can be used to improve previous oblivious storage solutions for network-based outsourcing of data.
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Taxonomy
TopicsCryptography and Data Security · Privacy-Preserving Technologies in Data · Internet Traffic Analysis and Secure E-voting
