ACM Home Page
Please provide us with feedback. Feedback
A formal analysis of information disclosure in data exchange
Full text PdfPdf (295 KB)
Source International Conference on Management of Data archive
Proceedings of the 2004 ACM SIGMOD international conference on Management of data table of contents
Paris, France
SESSION: Research sessions: security and privacy table of contents
Pages: 575 - 586  
Year of Publication: 2004
ISBN:1-58113-859-8
Authors
Gerome Miklau  University of Washington
Dan Suciu  University of Washington
Sponsor
SIGMOD: ACM Special Interest Group on Management of Data
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 5,   Downloads (12 Months): 65,   Citation Count: 28
Additional Information:

abstract   references   cited by   collaborative colleagues  

Tools and Actions: Request Permissions Request Permissions    Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/1007568.1007633
What is a DOI?

ABSTRACT

We perform a theoretical study of the following query-view security problem: given a view V to be published, does V logically disclose information about a confidential query S? The problem is motivated by the need to manage the risk of unintended information disclosure in today's world of universal data exchange. We present a novel information-theoretic standard for query-view security. This criterion can be used to provide a precise analysis of information disclosure for a host of data exchange scenarios, including multi-party collusion and the use of outside knowledge by an adversary trying to learn privileged facts about the database. We prove a number of theoretical results for deciding security according to this standard. We also generalize our security criterion to account for prior knowledge a user or adversary may possess, and introduce techniques for measuring the magnitude of partical disclosures. We believe these results can be a foundation for practical efforts to secure data exchange frameworks, and also illuminate a nice interaction between logic and probability theory.


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
F. Bancilhon and N. Spyratos. Protection of information in relational data bases. In VLDB, 1977.
3
 
4
5
 
6
7
 
8
R. Fagin. Probabilities on finite models. Notices of the Am. Math. Soc., October: A714, 1972.
 
9
R. Fagin, Probabilities on finite models. Journal of Symbolic Logic, 41(1), 1976.
 
10
C. Fortuin, P. Kasteleyn, and J. Ginibre. Correlation inequalities on some partially ordered sets. Comm. in Math. Physics, 22:89--103, 1971.
11
12
 
13
 
14
 
15
 
16
G. Miklau and D. Suciu. A formal analysis of information disclosure in data exchange. University of Washington Technical Report (TR 03-12-02), Dec 2003. www.cs.washington.edu/homes/gerome.
 
17
B. Schneier. Applied Cryptography, Second Edition. John Wiley and Sons, Inc., 1996.
 
18
C. E. Shannon. Communication theory of secrecy systems. In Bell System Technical Journal, 1949.
 
19

CITED BY  29
Collaborative Colleagues:
Gerome Miklau: colleagues
Dan Suciu: colleagues