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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Song, D.X., Wagner, D., Perrig, A.: Practical techniques for searches on encrypted data. In: IEEE Symposium on Security & Privacy, pp. 44–55 (2000)
Goh, E.: Secure indexes. Cryptology ePrint Archive, Report 2003/216 (2003). http://eprint.iacr.org/2003/216
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
Curtmola, R., Garay, J., Kamara, S., Ostrovsky, R.: Searchable symmetric encryption: improved definitions and efficient constructions. J. Comput. Secur. 19(5), 895–934 (2011)
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
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
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
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
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)
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)
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)
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
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)
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
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
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)
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)
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)
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)
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)
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)
Kerschbaum, F., Schroepfer, A.: Optimal average-complexity ideal-security order-preserving encryption. In: CCS, pp. 275–286 (2014)
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
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this paper
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)