Towards Collaborative Query Planning in Multi-party Database Networks

Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9149)

Abstract

Multi-party distributed database networks require secure and decentralized query planning services. In this work, we propose the collaborative query planning (CQP) service that enables multiple parties to jointly plan queries and controls sensitive information disclosure at the same time. We conduct several simulated experiments to evaluate the performance characteristics of our approach compared to other planning schemes, and also study the trade-off between information confidentiality and query plan efficiency. The evaluation shows that when sharing more than 30 % of query planning information between coalition parties, the CQP service is able to generate reasonably efficient query plans. We also outline potential improvements of the CQP service at the end.

Keywords

Information confidentiality Multi-party database network Optimization 

References

  1. 1.
    Bent, G., Dantressangle, P., Vyvyan, D., Mowshowitz, A., Mitsou, V.: A dynamic distributed federated database. In: Second Annual Conference of ITA, Imperial College, London (2008)Google Scholar
  2. 2.
    Cheng, P.-C., Rohatgi, P., Keser, C., Karger, P.A., Wagner, G.M., Reninger, A.S.: Fuzzy multi-level security: an experiment on quantified risk-adaptive access control. In: 2007 IEEE Symposium on Security and Privacy, SP 2007, pp. 222–230. IEEE (2007)Google Scholar
  3. 3.
    De Capitani di Vimercati, S., Foresti, S., Jajodia, S., Paraboschi, S., Samarati, P.: Authorization enforcement in distributed query evaluation. J. Comput. Secur. 19(4), 751–794 (2011)Google Scholar
  4. 4.
    Farnan, N.L., Lee, A.J., Chrysanthis, P.K., Yu, T.: Don’t reveal my intension: protecting user privacy using declarative preferences during distributed query processing. In: Atluri, V., Diaz, C. (eds.) ESORICS 2011. LNCS, vol. 6879, pp. 628–647. Springer, Heidelberg (2011) CrossRefGoogle Scholar
  5. 5.
    Farnan, N.L., Lee, A.J., Chrysanthis, P.K., Yu, T.: Paqo: preference-aware query optimization for decentralized database systems. In: IEEE 30th International Conference on Data Engineering (ICDE) (2014)Google Scholar
  6. 6.
    Farnan, N.L., Lee, A.J., Yu, T.: Investigating privacy-aware distributed query evaluation. In: Proceedings of the 9th Annual ACM Workshop on Privacy in the Electronic Society, pp. 43–52. ACM (2010)Google Scholar
  7. 7.
    Kossmann, D.: The state of the art in distributed query processing. ACM Comput. Surv. (CSUR) 32(4), 422–469 (2000)CrossRefGoogle Scholar
  8. 8.
    Le, M., Kant, K., Jajodia, S.: Rule enforcement with third parties in secure cooperative data access. In: Wang, L., Shafiq, B. (eds.) DBSec 2013. LNCS, vol. 7964, pp. 282–288. Springer, Heidelberg (2013) CrossRefGoogle Scholar
  9. 9.
    Le, M., Kant, K., Jajodia, S.: Consistent query plan generation in secure cooperative data access. In: Atluri, V., Pernul, G. (eds.) DBSec 2014. LNCS, vol. 8566, pp. 227–242. Springer, Heidelberg (2014) Google Scholar
  10. 10.
    Özsu, M.T., Valduriez, P.: Principles of Distributed Database Systems. Springer, New York (2011) Google Scholar
  11. 11.
    Papadimos, V., Maier, D.: Distributed queries without distributed state. In: Proceedings of WebDB 2002, pp. 95–100 (2002)Google Scholar
  12. 12.
    Pentaris, F., Ioannidis, Y.: Query optimization in distributed networks of autonomous database systems. ACM Trans. Database Syst. (TODS) 31(2), 537–583 (2006)CrossRefGoogle Scholar
  13. 13.
    Stonebraker, M., Devine, R., Kornacker, M., Litwin, W., Pfeffer, A., Sah, A., Staelin, C.: An economic paradigm for query processing and data migration in mariposa. In: 1994 Proceedings of the Third International Conference on Parallel and Distributed Information Systems, pp. 58–67. IEEE (1994)Google Scholar
  14. 14.
    Zeng, Q., Zhao, M., Liu, P., Yadav, P., Calo, S., Lobo, J.: Enforcement of autonomous authorizations in collaborative distributed query evaluation. IEEE Trans. Knowl. Data Eng. 27, 979–992 (2014)CrossRefGoogle Scholar

Copyright information

© IFIP International Federation for Information Processing 2015

Authors and Affiliations

  1. 1.Pennsylvania State UniversityState CollegeUSA
  2. 2.ICREA-Universitat Pompeu FabraBarcelonaSpain

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