Advertisement

A Hybrid Searchable Encryption Scheme for Cloud Computing

  • Stefania Loredana NitaEmail author
  • Marius Iulian Mihailescu
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11359)

Abstract

With the advances of technology, large amount of data is generated daily, which makes the traditional systems not to be able to handle such large quantities of data. A natural upgrade is to move to the cloud. In the last few years this was a trend adopted by an increasing number of organizations. Even an individual user uses the cloud in form of software as a service, for example, Google Drive, Google Docs, Microsoft OneDrive, Amazon Elastic Cloud etc. Also, a new trend is that smartphone manufacturers to provide a limited cloud storage in their own cloud for every user, storage used for data back-up or data storage. Extending the idea, an organization has much more data than an individual user and moving them to the cloud could be an advantage. But an organization or even an individual have sensitive documents stored on cloud and cloud computing brings many security challenges. A response to these challenges is searchable encryption, which allows searching for encrypted keywords over encrypted data on a server. In this paper, we propose a searchable encryption scheme, based on word suffix tree, in which we use two different algorithms to encrypt the keywords and documents.

Keywords

Searchable encryption Suffix tree Paillier cryptosystem Okamoto-Uchiyama cryptosystem 

References

  1. 1.
    10 Key marketing trends for 2017 and ideas for exceeding customer expectations. IBM Marketing Cloud (2017)Google Scholar
  2. 2.
    Mell, P., Grance, T.: The NIST definition of cloud computing (2011)Google Scholar
  3. 3.
    Chang, V., Bacigalupo, D., Wills, G., De Roure, D.: A categorisation of cloud computing business models. In: Proceedings of the 2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing, pp. 509–512. IEEE Computer Society (2010)Google Scholar
  4. 4.
    Ali, M., Khan, S.U., Vasilakos, A.V.: Security in cloud computing: opportunities and challenges. Inf. Sci. 305, 357–383 (2015)MathSciNetCrossRefGoogle Scholar
  5. 5.
    Paillier, P.: Public-key cryptosystems based on composite degree residuosity classes. In: Stern, J. (ed.) EUROCRYPT 1999. LNCS, vol. 1592, pp. 223–238. Springer, Heidelberg (1999).  https://doi.org/10.1007/3-540-48910-X_16CrossRefGoogle Scholar
  6. 6.
    Okamoto, T., Uchiyama, S.: A new public-key cryptosystem as secure as factoring. In: Nyberg, K. (ed.) EUROCRYPT 1998. LNCS, vol. 1403, pp. 308–318. Springer, Heidelberg (1998).  https://doi.org/10.1007/BFb0054135CrossRefGoogle Scholar
  7. 7.
    Curtmola, R., Garay, J., Kamara, S., Ostrovsky, R.: Searchable symmetric encryption: improved definitions and efficient constructions. J. Comput. Secur. 19(5), 895–934 (2011)CrossRefGoogle Scholar
  8. 8.
    Wang, Y., Wang, J., Chen, X.: Secure searchable encryption: a survey. J. Commun. Inf. Netw. 1(4), 52–65 (2016)CrossRefGoogle Scholar
  9. 9.
    Weiner, P.: Linear pattern matching algorithms. In: 1973 IEEE Conference Record of 14th Annual Symposium on Switching and Automata Theory, SWAT 2008, pp. 1–11. IEEE (1973)Google Scholar
  10. 10.
    McCreight, E.M.: A space-economical suffix tree construction algorithm. J. ACM (JACM) 23(2), 262–272 (1976)MathSciNetCrossRefGoogle Scholar
  11. 11.
    Ukkonen, E.: Constructing suffix trees on-line in linear time. In: Proceedings of the IFIP 12th World Computer Congress on Algorithms, Software, Architecture-Information Processing 1992, pp. 484–492. North-Holland Publishing Co. (1992)Google Scholar
  12. 12.
    Inenaga, S., Takeda, M.: On-line linear-time construction of word suffix trees. In: Lewenstein, M., Valiente, G. (eds.) CPM 2006. LNCS, vol. 4009, pp. 60–71. Springer, Heidelberg (2006).  https://doi.org/10.1007/11780441_7CrossRefGoogle Scholar
  13. 13.
    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).  https://doi.org/10.1007/978-3-540-24676-3_30CrossRefGoogle Scholar
  14. 14.
    Abdalla, M., et al.: Searchable encryption revisited: consistency properties, relation to anonymous IBE, and extensions. J. Cryptol. 21(3), 350–391 (2008)MathSciNetCrossRefGoogle Scholar
  15. 15.
    Di Crescenzo, G., Saraswat, V.: Public key encryption with searchable keywords based on Jacobi symbols. In: Srinathan, K., Rangan, C.P., Yung, M. (eds.) INDOCRYPT 2007. LNCS, vol. 4859, pp. 282–296. Springer, Heidelberg (2007).  https://doi.org/10.1007/978-3-540-77026-8_21CrossRefGoogle Scholar
  16. 16.
    Baek, J., Safavi-Naini, R., Susilo, W.: Public key encryption with keyword search revisited. In: Gervasi, O., Murgante, B., Laganà, A., Taniar, D., Mun, Y., Gavrilova, M.L. (eds.) ICCSA 2008. LNCS, vol. 5072, pp. 1249–1259. Springer, Heidelberg (2008).  https://doi.org/10.1007/978-3-540-69839-5_96CrossRefGoogle Scholar
  17. 17.
    Rhee, H.S., Park, J.H., Susilo, W., Lee, D.H.: Trapdoor security in a searchable public-key encryption scheme with a designated tester. J. Syst. Softw. 83(5), 763–771 (2010)CrossRefGoogle Scholar
  18. 18.
    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).  https://doi.org/10.1007/978-3-540-70936-7_29CrossRefGoogle Scholar
  19. 19.
    Ma, S., Mu, Y., Susilo, W., Yang, B.: Witness-based searchable encryption. Inf. Sci. 453, 364–378 (2018)MathSciNetCrossRefGoogle Scholar
  20. 20.
    Mahreen, S.K., Warsi, M.R., Neelam, S.K.: Domain dictionary-based metadata construction for search over encrypted cloud data. In: Singh, R., Choudhury, S., Gehlot, A. (eds.) Intelligent Communication, Control and Devices. AISC, vol. 624, pp. 661–669. Springer, Singapore (2018).  https://doi.org/10.1007/978-981-10-5903-2_68CrossRefGoogle Scholar
  21. 21.
    Etemad, M., Küpçü, A., Papamanthou, C., Evans, D.: Efficient dynamic searchable encryption with forward privacy. In: Proceedings on Privacy Enhancing Technologies, vol. 2018, no. 1, pp. 5–20 (2018)CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Stefania Loredana Nita
    • 1
    Email author
  • Marius Iulian Mihailescu
    • 2
  1. 1.Computer Science DepartmentUniversity of BucharestBucharestRomania
  2. 2.RCLMiamiUSA

Personalised recommendations