ACM Home Page
Please provide us with feedback. Feedback
Ensuring correctness over untrusted private database
Full text PdfPdf (292 KB)
Source ACM International Conference Proceeding Series; Vol. 261 archive
Proceedings of the 11th international conference on Extending database technology: Advances in database technology table of contents
Nantes, France
SESSION: Research sessions: Data fusion table of contents
Pages 476-486  
Year of Publication: 2008
ISBN:978-1-59593-926-5
Authors
Sarvjeet Singh  Purdue University, West Lafayette, IN
Sunil Prabhakar  Purdue University, West Lafayette, IN
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 7,   Downloads (12 Months): 57,   Citation Count: 0
Additional Information:

abstract   references   index terms   collaborative colleagues  

Tools and Actions: Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/1353343.1353402
What is a DOI?

ABSTRACT

In this paper we address the problem of ensuring the correctness of query results returned by an untrusted private database. The database owns the data and may modify it at any time. The querier is allowed to execute queries over this database; however it may not learn anything more than the result of these legal queries. The querier does not necessarily trust the database and would like the owner to furnish proof that the data has not been modified in response to recent events such as the submission of the query. We develop two metrics that capture the correctness of query answers and propose a range of solutions that provide a trade-off between the degree of exposure of private data, and the overhead of generation and verification of the proof. Our proposed solutions are tested on real data through implementation using PostgreSQL.


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.

 
1
 
2
S. Agrawal, V. Krishnan, and J. R. Haritsa. On addressing efficiency concerns in privacy-preserving mining. In Proceedings of Database Systems for Advanced Applications, 2004.
3
 
4
 
5
 
6
M. Gertz, A. Kwong, C. Martel, G. Nuckolls, P. Devanbu, and S. Stubblebine. Databases that tell the truth: Authentic data publication. Bulletin of the Technical Committee on Data Engineering, 7(1), 2004.
 
7
 
8
 
9
 
10
 
11
 
12
PostgreSQL. http://www.postresql.org.
 
13
B. Preneel. Analysis and Design of Cryptographic Hash Functions. PhD thesis, Katholieke University Leuven, 1993.
 
14
O. Project. http://www.openssl.org.
 
15

Collaborative Colleagues:
Sarvjeet Singh: colleagues
Sunil Prabhakar: colleagues