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Obfuscated databases and group privacy
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Source Conference on Computer and Communications Security archive
Proceedings of the 12th ACM conference on Computer and communications security table of contents
Alexandria, VA, USA
SESSION: Privacy and anonymity table of contents
Pages: 102 - 111  
Year of Publication: 2005
ISBN:1-59593-226-7
Authors
Arvind Narayanan  University of Texas at Austin
Vitaly Shmatikov  University of Texas at Austin
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

We investigate whether it is possible to encrypt a database and then give it away in such a form that users can still access it, but only in a restricted way. In contrast to conventional privacy mechanisms that aim to prevent any access to individual records, we aim to restrict the set of queries that can be feasibly evaluated on the encrypted database.We start with a simple form of database obfuscation which makes database records indistinguishable from lookup functions. The only feasible operation on an obfuscated record is to look up some attribute Y by supplying the value of another attribute X that appears in the same record (i.e., someone who does not know X cannot feasibly retrieve Y). We then (i) generalize our construction to conjunctions of equality tests on any attributes of the database, and (ii) achieve a new property we call group privacy. This property ensures that it is easy to retrieve individual records or small subsets of records from the encrypted database by identifying them precisely, but ``mass harvesting'' queries matching a large number of records are computationally infeasible.Our constructions are non-interactive. The database is transformed in such a way that all queries except those explicitly allowed by the privacy policy become computationally infeasible, i.e.,, our solutions do not rely on any access-control software or hardware.


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:
Arvind Narayanan: colleagues
Vitaly Shmatikov: colleagues