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Privacy in GLAV Information Integration

  • Alan Nash
  • Alin Deutsch
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4353)

Abstract

We define and study formal privacy guarantees for information integration systems, where sources are related to a public schema by mappings given by source-to-target dependencies which express inclusion of unions of conjunctive queries with equality. This generalizes previous privacy work in the global-as-view publishing scenario and covers local-as-view as well as combinations of the two.

We concentrate on logical security, where malicious users have the same level of access as legitimate users: they can issue queries against the global schema which are answered under “certain answers” semantics and then use unlimited computational power and external knowledge on the results of the queries to guess the result of a secret query (“the secret”) on one or more of the sources, which are not directly accessible. We do not address issues of physical security, which include how to prevent users from gaining unauthorized access to the data.

We define both absolute guarantees: how safe is the secret? and relative guarantees: how much of the secret is additionally disclosed when the mapping is extended, for example to allow new data sources or new relationships between an existing data source and the global schema? We provide algorithms for checking whether these guarantees hold and undecidability results for related, stronger guarantees.

Keywords

Information Integration External Knowledge Conjunctive Query Malicious User Public Schema 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Abiteboul, S., Hull, R., Vianu, V.: Foundations of Databases. Addison-Wesley, Reading (1995)MATHGoogle Scholar
  2. 2.
    Abiteboul, S., Kanellakis, P., Grahne, G.: On the representation and querying of sets of possible worlds. Theoretical Computer Science 78, 159–187 (1991)MATHCrossRefMathSciNetGoogle Scholar
  3. 3.
    Bielecki, M., den Bussche, J.V.: Database interrogation using conjunctive queries. In: ICDT, pp. 259–269 (2003)Google Scholar
  4. 4.
    Cali, A., Calvanese, D., Giacomo, G.D., Lenzerini, M.: Data integration under integrity constraints. In: Pidduck, A.B., Mylopoulos, J., Woo, C.C., Ozsu, M.T. (eds.) CAiSE 2002. LNCS, vol. 2348, Springer, Heidelberg (2002)Google Scholar
  5. 5.
    Cali, A., Giacomo, G.D., Lenzerini, M.: Models of information integration: Turning local-as-view into global-as-view. In: FMII (2001)Google Scholar
  6. 6.
    Dalvi, N.N., Miklau, G., Suciu, D.: Asymptotic conditional probabilities for conjunctive queries. In: ICDT (2005)Google Scholar
  7. 7.
    Dalvi, N., Suciu, D.: Answering queries from statistics and probabilistic views. In: VLDB (2005)Google Scholar
  8. 8.
    Deutsch, A., Papakonstantinou, Y.: Privacy in database publishing. In: Eiter, T., Libkin, L. (eds.) ICDT 2005. LNCS, vol. 3363, pp. 230–245. Springer, Heidelberg (2004)CrossRefGoogle Scholar
  9. 9.
    Duschka, O., Genesereth, M., Levy, A.: Recursive query plans for data integration. Journal of Logic Programming 43(1), 49–73 (2000)MATHCrossRefMathSciNetGoogle Scholar
  10. 10.
    Evfimievski, A., Gehrke, J., Srikant, R.: Limiting privacy breaches in privacy preserving data mining. In: PODS (2003)Google Scholar
  11. 11.
    Fagin, R., Kolaitis, P., Miller, R., Popa, L.: Data exchange: Semantics and query answering. In: Calvanese, D., Lenzerini, M., Motwani, R. (eds.) ICDT 2003. LNCS, vol. 2572, pp. 207–224. Springer, Heidelberg (2002)CrossRefGoogle Scholar
  12. 12.
    Friedman, M., Levy, A., Millstein, T.: Navigational plans for data integration. In: 16th National Conference on Artificial Intelligence (AAAI) (1999)Google Scholar
  13. 13.
    Grahne, G., Mendelzon, A.O.: Tableau techniques for querying information sources through global schemas. In: Beeri, C., Bruneman, P. (eds.) ICDT 1999. LNCS, vol. 1540, pp. 332–347. Springer, Heidelberg (1998)CrossRefGoogle Scholar
  14. 14.
    Halevy, A.: Logic-based techniques in data integration. Logic Based Artificial Intelligence (2000)Google Scholar
  15. 15.
    Koch, C.: Query rewriting with symmetric constraints. In: FoIKS (2002)Google Scholar
  16. 16.
    Lenzerini, M.: Data integration: A theoretical perspective. In: PODS (2002)Google Scholar
  17. 17.
    Miklau, G., Suciu, D.: Controlling access to published data using cryptography. In: VLDB (2003)Google Scholar
  18. 18.
    Miklau, G., Suciu, D.: A formal analysis of information disclosure in data exchange. In: SIGMOD Conference (2004)Google Scholar
  19. 19.
    Nash, A., Deutsch, A.: Privacy in GLAV information integration. Technical Report CS2006-0869, University of California, San Diego (2006), http://db.ucsd.edu/people/alin
  20. 20.
    Rizvi, S., Mendelzon, A.O., Sudarshan, S., Roy, P.: Extending query rewriting techniques for fine-grained access control. In: SIGMOD Conference (2004)Google Scholar
  21. 21.
    Segoufin, L., Vianu, V.: Views and queries: Determinacy and rewriting. In: PODS (2005)Google Scholar
  22. 22.
    Ullman, J.D.: Information integration using logical views. In: ICDT (1997)Google Scholar
  23. 23.
    Yu, C., Popa, L.: Constraint-based XML query rewriting for data integration. In: SIGMOD (2004)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Alan Nash
    • 1
  • Alin Deutsch
    • 2
  1. 1.IBM Almaden Research Lab 
  2. 2.University of California San Diego 

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