Skip to main content

Indexing Encrypted Documents for Supporting Efficient Keyword Search

  • Conference paper
Secure Data Management (SDM 2012)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7482))

Included in the following conference series:

Abstract

We propose a scheme to index encrypted documents on an untrusted server and evaluate keyword search queries against them. The proposed scheme provides better security than deterministic encryption schemes and is far more efficient than existing searchable encryption schemes in literature. Furthermore, it provides the user with a set of control parameters to adjust the level of exposure against the efficiency of the indexing scheme. It also allows easy updates and deletions unlike most existing encrypted searching schemes. We carry out preliminary experiments to test the effectiveness of the proposed scheme and give an intuition for the security properties along with a fairly detailed outline of the security formalism that we are currently developing to analyze the security of our scheme.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 54.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 72.00
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Ballard, L., Kamara, S., Monrose, F.: Achieving Efficient Conjunctive Keyword Searches over Encrypted Data. In: Qing, S., Mao, W., López, J., Wang, G. (eds.) ICICS 2005. LNCS, vol. 3783, pp. 414–426. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  2. Boneh, D., Di Crescenzo, G., Ostrovsky, R., Persiano, G.: Public Key Encryption with Keyword Search. In: Cachin, C., Camenisch, J.L. (eds.) EUROCRYPT 2004. LNCS, vol. 3027, pp. 506–522. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  3. Boneh, D., Waters, B.: Conjunctive, Subset, and Range Queries on Encrypted Data. In: Vadhan, S.P. (ed.) TCC 2007. LNCS, vol. 4392, pp. 535–554. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  4. Briney, A.: Information Security Industry Survey (2001), http://www.infosecuritymag.com/archives2001.shtml (cited in October 2002)

  5. Chang, Y.-C., Mitzenmacher, M.: Privacy Preserving Keyword Searches on Remote Encrypted Data. In: Ioannidis, J., Keromytis, A.D., Yung, M. (eds.) ACNS 2005. LNCS, vol. 3531, pp. 442–455. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  6. Curtmola, R., Garay, J., Kamara, S., Ostrovsky, R.: Searchable symmetric encryption: improved definitions and efficient constructions. In: CCS (2006)

    Google Scholar 

  7. Goh, E.: Secure Indexes (2003) (unpubished manuscript)

    Google Scholar 

  8. Golle, P., Staddon, J., Waters, B.: Secure Conjunctive Keyword Search over Encrypted Data. In: Jakobsson, M., Yung, M., Zhou, J. (eds.) ACNS 2004. LNCS, vol. 3089, pp. 31–45. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  9. Hore, B., Mehrotra, S., Canim, M., Kantarcioglu, M.: Secure Multidimensional Range Queries over Outsourced Data. VLDB Journal (2012)

    Google Scholar 

  10. Hore, B., Mehrotra, S., Tsudik, G.: A Privacy-Preserving Index for Range Queries. In: VLDB (2004)

    Google Scholar 

  11. Krauthgamer, R., Mehta, A., Raman, V., Rudra, A.: Greedy list intersection. In: ICDE (2008)

    Google Scholar 

  12. Li, J., Omiecinski, E.: Efficiency and Security Trade-Off in Supporting Range Queries on Encrypted Databases. In: DBSec (2005)

    Google Scholar 

  13. Raman, V., Qiao, L., Han, W., Narang, I., Chen, Y.: Lazy, adaptive rid-list intersection, and its application to index anding. In: SIGMOD (2007)

    Google Scholar 

  14. Shi, E., Bethencourt, J., Chan, H.T.-H., Song, D.X., Perrig, A.: Multi-Dimensional Range Query over Encrypted Data. In: IEEE S&P (2007)

    Google Scholar 

  15. Song, D.X., Wagner, D., Perrig, A.: Practical techniques for searches on encrypted data. In: IEEE S&P (2000)

    Google Scholar 

  16. Waters, B., Balfanz, D., Durfee, G., Smetters, D.: Building and encrypted and searchable audit log. In: NDSS (2004)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Hore, B., Chang, EC., Diallo, M.H., Mehrotra, S. (2012). Indexing Encrypted Documents for Supporting Efficient Keyword Search. In: Jonker, W., Petković, M. (eds) Secure Data Management. SDM 2012. Lecture Notes in Computer Science, vol 7482. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32873-2_7

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-32873-2_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-32872-5

  • Online ISBN: 978-3-642-32873-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics