Secure Metric-Based Index for Similarity Cloud

  • Stepan Kozak
  • David Novak
  • Pavel Zezula
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7482)


We propose a similarity index that ensures data privacy and thus is suitable for search systems outsourced in a cloud. The proposed solution can exploit existing efficient metric indexes based on a fixed set of reference points. The method has been fully implemented as a security extension of an existing established approach called M-Index. This Encrypted M-Index supports evaluation of standard range and nearest neighbors queries both in precise and approximate manner. In the first part of this work, we analyze various levels of privacy in existing or future similarity search systems; the proposed solution tries to keep a reasonable privacy level while relocating only the necessary amount of work from server to an authorized client. The Encrypted M-Index has been tested on three real data sets with focus on various cost components.




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  1. 1.
    Park, H.A., Kim, B.H., Lee, D.H., Chung, Y.D., Zhan, J.: Secure similarity search. In: 2007 IEEE International Conference on Granular Computing (GRC 2007), pp. 598–598. IEEE (2007)Google Scholar
  2. 2.
    Li, J., Wang, Q., Wang, C., Cao, N., Ren, K., Lou, W.: Fuzzy keyword search over encrypted data in cloud computing. In: Proceeding of the 29th Conference on Information Communications, pp. 441–445 (2010)Google Scholar
  3. 3.
    Cao, N., Wang, C., Li, M., Ren, K., Lou, W.: Privacy-preserving multi-keyword ranked search over encrypted cloud data. In: 2011 Proceedings IEEE INFOCOM, pp. 829–837. IEEE (2011)Google Scholar
  4. 4.
    Yiu, M.L., Assent, I., Jensen, C.S., Kalnis, P.: Outsourced Similarity Search on Metric Data Assets. IEEE Transactions on Knowledge and Data Engineering 24(2), 338–352 (2012)CrossRefGoogle Scholar
  5. 5.
    Novak, D., Batko, M.: Metric index: an efficient and scalable solution for similarity search. In: Second International Workshop on Similarity Search and Applications (SISAP 2009), pp. 65–73. IEEE (2009)Google Scholar
  6. 6.
    Novak, D., Batko, M., Zezula, P.: Metric Index: An Efficient and Scalable Solution for Precise and Approximate Similarity Search. Information Systems 36(4), 721–733 (2011)CrossRefGoogle Scholar
  7. 7.
    Zezula, P., Amato, G., Dohnal, V., Batko, M.: Similarity Search: The Metric Space Approach. In: Advanced Database Systems, vol. 32. Springer (2006)Google Scholar
  8. 8.
    Hore, B., Mehrotra, S., Canim, M., Kantarcioglu, M.: Secure multidimensional range queries over outsourced data. The VLDB Journal 21(3), 333–358 (2011)CrossRefGoogle Scholar
  9. 9.
    Chávez, E., Figueroa, K., Navarro, G.: Effective Proximity Retrieval by Ordering Permutations. IEEE Transactions on Pattern Analalysis and Machine Intelligence 30(9), 1647–1658 (2008)CrossRefGoogle Scholar
  10. 10.
    Amato, G., Savino, P.: Approximate similarity search in metric spaces using inverted files. In: Proceedings of the 3rd International Conference on Scalable Information Systems (2008)Google Scholar
  11. 11.
    Esuli, A.: PP-Index: Using permutation prefixes for efficient and scalable approximate similarity search. In: Proceedings of LSDS-IR 2009 (2009)Google Scholar
  12. 12.
    Chávez, E., Navarro, G., Baeza-Yates, R., Marroquín, J.L.: Searching in metric spaces. ACM Computing Surveys 33(3), 273–321 (2001)CrossRefGoogle Scholar
  13. 13.
    Skala, M.: Counting distance permutations. Journal of Discrete Algorithms 7(1), 49–61 (2009)MathSciNetMATHCrossRefGoogle Scholar
  14. 14.
    Batko, M., Novak, D., Zezula, P.: MESSIF: Metric similarity search implementation framework. Digital Libraries Research and Development 4877(102), 1–10 (2007)CrossRefGoogle Scholar
  15. 15.
    Bolettieri, P., Esuli, A., Falchi, F., Lucchese, C., Perego, R., Piccioli, T., Rabitti, F.: CoPhIR: A Test Collection for Content-Based Image Retrieval. CoRR abs/0905.4 (2009)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Stepan Kozak
    • 1
  • David Novak
    • 1
  • Pavel Zezula
    • 1
  1. 1.Masaryk UniversityBrnoCzech Republic

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