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Managing Data Sharing in OpenStack Swift with Over-Encryption

Authors: E. Bacis; S. De Capitani di Vimercati; S. Foresti; D. Guttadoro; S. Paraboschi; M. Rosa; P. Samarati; +1 Authors

Managing Data Sharing in OpenStack Swift with Over-Encryption

Abstract

The sharing of large amounts of data is greatly facilitated by the adoption of cloud storage solutions. In many scenarios, this adoption could be hampered by possible concerns about data confidentiality, as cloud providers are not trusted to know the content of the data they store. Especially when the data are organized in objects, the application of an encryption layer is an interesting solution to this problem, because it offers strong confidentiality guarantees with a limited performance overhead. In a data sharing scenario, the management of access privileges then requires an adequate support for key derivation and for managing policy evolution. We present a solution that provides transparent support for the encryption of objects stored on Swift. Our system offers an efficient management of the updates to the access control policy, including revocation of authorizations from some of the sharing users. We explore several alternatives for the architecture, associated with distinct levels of transparency for the applications, and integrate different options for the management of policy updates. Our implementation and experiments demonstrate the easy integration of the approach with existing cloud storage solutions.

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Keywords

Electrical and Electronic Engineering; Information Systems; Human-Computer Interaction; Control and Systems Engineering

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    6
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
6
Average
Average
Average
Green