Distributed query execution under access restrictions

doi:10.1016/j.cose.2022.103056

Distributed query execution under access restrictions

2023-04-01

0

OA

AI

S

Sabrina De Capitani di Vimercati

Pierangela Samarati *

DOI：10.1016/j.cose.2022.103056

原文链接

查看原文

摘要

En 中文

The availability of a multitude of data sources has naturally increased the need for subjects to collaborate for supporting distributed computations that combine different data collections for their elaboration and analysis. Due to the quick pace at which datasets grow, often the authorities collecting and owning such datasets resort to external third parties (e.g., cloud providers) for their storage and management. Data un-der the control of different authorities are autonomously encrypted (using different encryption schemes and keys) for their external storage. This makes distributed computations combining these sources dif-ficult to support. In this paper, we propose an approach enabling collaborative computations over data encrypted in storage, selectively involving also subjects that might not be authorized for accessing the data in plaintext when their collaboration is considered economically convenient. We also consider the possible adoption of trusted hardware components, to enable the evaluation of operations over plain -text data at non-fully trusted computational providers. The experimental results confirm the economic benefits that can be enabled by our proposal.(c) 2022 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license ( http://creativecommons.org/licenses/by-nc-nd/4.0/ )

Keyword:

Distributed query execution

Controlled data sharing

Authorization model

Relation profile

Cloud computing

Distributed query execution under access restrictions

摘要

AI总结

期刊

机构

引用论文