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Preserving confidentiality of security policies in data outsourcing
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Conference on Computer and Communications Security archive
Proceedings of the 7th ACM workshop on Privacy in the electronic society table of contents
Alexandria, Virginia, USA
SESSION: Data privacy table of contents
Pages 75-84  
Year of Publication: 2008
ISBN:978-1-60558-289-4
Authors
Sabrina De Capitani di Vimercati  Università di Milano, Crema (CR), Italy
Sara Foresti  Università di Milano, Crema (CR), Italy
Sushil Jajodia  George Mason University, Fairfax, VA, USA
Stefano Paraboschi  Università di Bergamo, Dalmine (BG), Italy
Gerardo Pelosi  Università di Bergamo, Dalmine (BG), Italy
Pierangela Samarati  Università di Milano, Crema (CR), Italy
Sponsors
SIGSAC: ACM Special Interest Group on Security, Audit, and Control
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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ABSTRACT

Recent approaches for protecting information in data outsourcing scenarios exploit the combined use of access control and cryptography. In this context, the number of keys to be distributed and managed by users can be maintained limited by using a public catalog of tokens that allow key derivation along a hierarchy. However, the public token catalog, by expressing the key derivation relationships, may leak information on the security policies (authorizations) enforced by the system, which the data owner may instead wish to maintain confidential.

In this paper, we present an approach to protect the privacy of the tokens published in the public catalog. Consistently with the data outsourcing scenario, our solution exploits the use of cryptography, by adding an encryption layer to the catalog. A complicating issue in this respect is that this new encryption layer should follow a derivation path that is "reversed" with respect to the key derivation. Our approach solves this problem by combining cryptography and transitive closure information. The result is an efficient solution allowing token release and traversal of the key derivation structure only to those users authorized to access the underlying resources. We also present experimental results that illustrate the behavior of our technique in large settings.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Collaborative Colleagues:
Sabrina De Capitani di Vimercati: colleagues
Sara Foresti: colleagues
Sushil Jajodia: colleagues
Stefano Paraboschi: colleagues
Gerardo Pelosi: colleagues
Pierangela Samarati: colleagues