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Balancing confidentiality and efficiency in untrusted relational DBMSs
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Source Conference on Computer and Communications Security archive
Proceedings of the 10th ACM conference on Computer and communications security table of contents
Washington D.C., USA
SESSION: Access control table of contents
Pages: 93 - 102  
Year of Publication: 2003
ISBN:1-58113-738-9
Authors
Ernesto Damiani  DTI - Università di Milano, Crema - Italy
S. De Capitani Vimercati  DTI - Università di Milano, Crema - Italy
Sushil Jajodia  George Mason University, Fairfax, VA
Stefano Paraboschi  DIGI - Università di Bergamo, Dalmine - Italy
Pierangela Samarati  DTI - Università di Milano, Crema - Italy
Sponsor
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 31,   Downloads (12 Months): 154,   Citation Count: 11
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ABSTRACT

The scope and character of today's computing environments are progressively shifting from traditional, one-on-one client-server interaction to the new cooperative paradigm. It then becomes of primary importance to provide means of protecting the secrecy of the information, while guaranteeing its availability to legitimate clients. Operating on-line querying services securely on open networks is very difficult; therefore many enterprises outsource their data center operations to external application service providers. A promising direction towards prevention of unauthorized access to outsourced data is represented by encryption. However, data encryption is often supported for the sole purpose of protecting the data in storage and assumes trust in the server, that decrypts data for query execution.In this paper, we present a simple yet robust single-server solution for remote querying of encrypted databases on untrusted servers. Our approach is based on the use of indexing information attached to the encrypted database which can be used by the server to select the data to be returned in response to a query without the need of disclosing the database content. Our indexes balance the trade off between efficiency requirements in query execution and protection requirements due to possible inference attacks exploiting indexing information. We also investigate quantitative measures to model inference exposure and provide some related experimental results.


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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L. Bouganim and P. Pucheral. Chip-secured data access: Confidential data on untrusted servers. In Proc. of the 28th International Conference on Very Large Data Bases, pages 131--142, Hong Kong, China, August 2002.
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B.D. McKay. Practical graph isomorphism. Congressus Numerantium, 30:45--87, 1981.
 
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CITED BY  11
 
 
 
 
 

Collaborative Colleagues:
Ernesto Damiani: colleagues
S. De Capitani Vimercati: colleagues
Sushil Jajodia: colleagues
Stefano Paraboschi: colleagues
Pierangela Samarati: colleagues

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