Skip to main content

Ranked Searchable Symmetric Encryption Supporting Conjunctive Queries

  • Conference paper
  • First Online:
Information Security Practice and Experience (ISPEC 2017)

Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 10701))

Abstract

Searchable symmetric encryption allows searching over the encrypted data directly without decryption, which is particularly useful in cloud computing as users can outsource the data to cloud servers without privacy leakage while retaining the ability to search. To meet users’ specific needs, searching supporting conjunctive queries and ranking is considered. Based on the searchable symmetric encryption protocol OXT of Cash et al., we propose a ranked searchable symmetric encryption scheme by integrating order preserving encryption, so that the matching documents returned to the client are ordered by keyword occurrences. It retains OXT’s efficiency and supports ranked search. The security analysis shows that the proposed scheme is secure against chosen plaintext attacks.

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 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
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

References

  1. Song, D.X., Wagner, D., Perrig, A.: Practical techniques for searches on encrypted data. In: IEEE Symposium on Security & Privacy, pp. 44–55 (2000)

    Google Scholar 

  2. Goh, E.: Secure indexes. Cryptology ePrint Archive, Report 2003/216 (2003). http://eprint.iacr.org/2003/216

  3. Chang, Y.-C., Mitzenmacher, M.: Privacy preserving keyword searches on remote encrypted data. In: Ioannidis, J., Keromytis, A., Yung, M. (eds.) ACNS 2005. LNCS, vol. 3531, pp. 442–455. Springer, Heidelberg (2005). https://doi.org/10.1007/11496137_30

    Chapter  Google Scholar 

  4. Curtmola, R., Garay, J., Kamara, S., Ostrovsky, R.: Searchable symmetric encryption: improved definitions and efficient constructions. J. Comput. Secur. 19(5), 895–934 (2011)

    Article  Google Scholar 

  5. Cash, D., Jarecki, S., Jutla, C., Krawczyk, H., Roşu, M.-C., Steiner, M.: Highly-scalable searchable symmetric encryption with support for boolean queries. In: Canetti, R., Garay, J.A. (eds.) CRYPTO 2013. LNCS, vol. 8042, pp. 353–373. Springer, Heidelberg (2013). https://doi.org/10.1007/978-3-642-40041-4_20

    Chapter  Google Scholar 

  6. 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). https://doi.org/10.1007/978-3-540-24852-1_3

    Chapter  Google Scholar 

  7. 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). https://doi.org/10.1007/11602897_35

    Chapter  Google Scholar 

  8. Byun, J.W., Lee, D.H., Lim, J.: Efficient conjunctive keyword search on encrypted data storage system. In: Atzeni, A.S., Lioy, A. (eds.) EuroPKI 2006. LNCS, vol. 4043, pp. 184–196. Springer, Heidelberg (2006). https://doi.org/10.1007/11774716_15

    Chapter  Google Scholar 

  9. Shi, E., Bethencourt, J., Chan, T.H.H., Song, D., Perrig, A.: Multi-dimensional range query over encrypted data. In: IEEE Symposium on Security & Privacy, pp. 350–364 (2007)

    Google Scholar 

  10. Wang, C., Cao, N., Li, J., Ren, K., Lou, W.: Secure ranked keyword search over encrypted cloud data. In: IEEE 30th International Conference on Distributed Computing Systems, pp. 253–262 (2010)

    Google Scholar 

  11. Agrawal, R., Kiernan, J., Srikant, R., Xu, Y.: Order preserving encryption for numeric data. In: The 2004 ACM SIGMOD International Conference on Management of Data, pp. 563–574 (2004)

    Google Scholar 

  12. Boldyreva, A., Chenette, N., Lee, Y., O’Neill, A.: Order-preserving symmetric encryption. In: Joux, A. (ed.) EUROCRYPT 2009. LNCS, vol. 5479, pp. 224–241. Springer, Heidelberg (2009). https://doi.org/10.1007/978-3-642-01001-9_13

    Chapter  Google Scholar 

  13. Lee, S., Park, T.J., Lee, D., Nam, T., Kim, S.: Chaotic order preserving encryption for efficient and secure queries on databases. IEICE Trans. Inf. Syst. 92(11), 2207–2217 (2009)

    Article  Google Scholar 

  14. Yum, D.H., Kim, D.S., Kim, J.S., Lee, P.J., Hong, S.J.: Order-preserving encryption for non-uniformly distributed plaintexts. In: Jung, S., Yung, M. (eds.) WISA 2011. LNCS, vol. 7115, pp. 84–97. Springer, Heidelberg (2012). https://doi.org/10.1007/978-3-642-27890-7_7

    Chapter  Google Scholar 

  15. Boldyreva, A., Chenette, N., O’Neill, A.: Order-preserving encryption revisited: improved security analysis and alternative solutions. In: Rogaway, P. (ed.) CRYPTO 2011. LNCS, vol. 6841, pp. 578–595. Springer, Heidelberg (2011). https://doi.org/10.1007/978-3-642-22792-9_33

    Chapter  Google Scholar 

  16. Popa, R.A., Li, F.H., Zeldovich, N.: An ideal-security protocol for order-preserving encoding. In: IEEE Symposium on Security & Privacy, pp. 463–477 (2013)

    Google Scholar 

  17. Wang, C., Cao, N., Ren, K., Lou, W.: Enabling secure and efficient ranked keyword search over outsourced cloud data. IEEE Trans. Parallel Distrib. Syst. 23(8), 1467–1479 (2012)

    Article  Google Scholar 

  18. Cao, N., Wang, C., Li, M., Ren, K., Lou, W.: Privacy-preserving multi-keyword ranked search over encrypted cloud data. IEEE Trans. Parallel Distrib. Syst. 25(1), 222–233 (2014)

    Article  Google Scholar 

  19. Sun, W., Wang, B., Cao, N., Li, M., Lou, W., Hou, Y.T., Li, H.: Privacy-preserving multi-keyword text search in the cloud supporting similarity-based ranking. In: Proceedings of the 8th ACM SIGSAC Symposium on Information, Computer and Communications Security, pp. 71–82. ACM (2013)

    Google Scholar 

  20. Fu, Z., Sun, X., Liu, Q., Zhou, L., Shu, J.: Achieving efficient cloud search services: multi-keyword ranked search over encrypted cloud data supporting parallel computing. IEICE Trans. Commun. 98(1), 190–200 (2015)

    Article  Google Scholar 

  21. Xia, Z., Wang, X., Sun, X., Wang, Q.: A secure and dynamic multi-keyword ranked search scheme over encrypted cloud data. IEEE Trans. Parallel Distrib. Syst. 27(2), 340–352 (2016)

    Article  Google Scholar 

  22. Kerschbaum, F., Schroepfer, A.: Optimal average-complexity ideal-security order-preserving encryption. In: CCS, pp. 275–286 (2014)

    Google Scholar 

Download references

Acknowledgments

This work was supported by the Science and Technology Plan of Shenzhen, China (JCYJ20160307150216309, JCYJ20170302151321095), and Tencent Rhinoceros Birds - Scientific Research Foundation for Young Teachers of Shenzhen University, China.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Yanjun Shen .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Shen, Y., Zhang, P. (2017). Ranked Searchable Symmetric Encryption Supporting Conjunctive Queries. In: Liu, J., Samarati, P. (eds) Information Security Practice and Experience. ISPEC 2017. Lecture Notes in Computer Science(), vol 10701. Springer, Cham. https://doi.org/10.1007/978-3-319-72359-4_20

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-72359-4_20

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-72358-7

  • Online ISBN: 978-3-319-72359-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics