Abstract
To address the problems of key leakage and large computation amount in current attribute-based searchable encryption (SE) schemes, this study proposes a multi-keywords ranked search scheme based on attribute encryption in cloud environment. Firstly, the scheme not only supports fine-grained search authorisation, but also has constant ciphertext length. Secondly, users’ private keys are blinded before being submitted to the cloud server, This process ensures the security and confidentiality of users’ keys. Thirdly, to reduce search complexity, this study uses \( TF \times IDF \) rules to calculate the relevance scores of documents and given keywords, and then sorts the documents. Lastly, formal evidence shows that our scheme exhibits selective plaintext security and is indistinguishably secure against chosen keyword attacks. Experimental results demonstrate that our scheme is efficient.
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References
Song, X.D., Wagner, D., Perrig, A.: Practical techniques for search on encrypted data. In: Proceedings of the 2000 IEEE Symposium on Security and Privacy, pp. 44–55. IEEE Press (2000)
Farras, O., Ribes-Gonzalez, J.: Provably secure public-key encryption with conjunctive and subset keyword search. Int. J. Inf. Secur., 1–16 (2019)
Li, H., Liu, D., Jia, K., et al.: Achieving authorized and ranked multi-keyword search over encrypted cloud data. In: 2015 IEEE International Conference on Communication (ICC), pp. 7450–7455. IEEE (2015)
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, 1467–1479 (2012)
Chen, Z., Wu, C., Wang, D., Li, S., Ostrovsky, R.: Searchable symmetric encryption with efficient pairing, constant ciphertext and short trapdoor. In: PAISI 2012, pp. 176–189. Springer (2012)
Xia, Z., Wang, X., Sun, X., Wang, Q.: A secure and dynamic multi-keyword search over encrypted cloud data. IEEE Trans. Parallel Distrib. Syst. 27(2), 340–352 (2016)
Li, H., Liu, D., Jia, K., Lin, X.: Achieving authorized and ranked multi-keyword search over encrypted cloud data. In: 2015 IEEE International Conference on Communications (ICC), pp. 7450–7455. IEEE (2015)
Jiang, X.X., Yu, J., Yan, J.B., Hao, R.: Enabling efficient and verifiable multi-keyword ranked search over encrypted cloud data. Inf. Sci. 403–404, 22–41 (2017)
Wang, X., Hu, Q., Zhang, Y., Zhang, G., Juan, W., Xing, C.: A kind of decision model research based on big data and blockchain in eHealth. In: Meng, X., Li, R., Wang, K., Niu, B., Wang, X., Zhao, G. (eds.) WISA 2018. LNCS, vol. 11242, pp. 300–306. Springer, Cham (2018). https://doi.org/10.1007/978-3-030-02934-0_28
Sahai, A., Waters, B.: Fuzzy identity-based encryption. In: Cramer, R. (ed.) EUROCRYPT 2005. LNCS, vol. 3494, pp. 457–473. Springer, Heidelberg (2005). https://doi.org/10.1007/11426639_27
Li, S., Xu, M.: Attribute-based searchable encryption. Chin. J. Comput., 05–26 (2016)
Cui, J., Zhou, H., Zhong, H., Xu, Y.: AKSER: attribute based keyword search with efficient revocation in cloud computing. Inf. Sci. 423, 343–352 (2018)
Sun, W., Yu, S., Lou, W., Hou, Y.T., Li, H.: Protecting your right: attribute-based keyword search with fine-grained owner-enforced search authorization in the cloud. In: 2014 Proceedings IEEE INFOCOM, pp. 226–234 (2014)
Miao, Y.B., Ma, J.F., Jiang, Q., Li, X., Sangaiah, A.K.: Verifiable keyword search over encrypted cloud data in smart city. Comput. Electr. Eng. 65, 90–101 (2017)
Emura, K., Miyaji, A., Nomura, A., Omote, K., Soshi, M.: A ciphertext-policy attribute-based encryption scheme with constant ciphertext length. In: Bao, F., Li, H., Wang, G. (eds.) ISPEC 2009. LNCS, vol. 5451, pp. 13–23. Springer, Heidelberg (2009). https://doi.org/10.1007/978-3-642-00843-6_2
Li, J., Sha, F., Zhang, Y., Huang, X., Shen, J.: Verifiable outsourced decryption of attribute-based encryption with constant ciphertext length. Secur. Commun. Netw. 2017, 1–11 (2017)
Lynn, B.: Pbc library (2006). http://cryptostanford.edu/pbc
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Liu, X., Lu, T., He, X., Yang, X. (2019). Multi-keyword Search Based on Attribute Encryption. In: Ni, W., Wang, X., Song, W., Li, Y. (eds) Web Information Systems and Applications. WISA 2019. Lecture Notes in Computer Science(), vol 11817. Springer, Cham. https://doi.org/10.1007/978-3-030-30952-7_34
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DOI: https://doi.org/10.1007/978-3-030-30952-7_34
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