Keyword search on confidential data in a cloud environment is the main focus of this research. The cloud providers are not fully trusted. So, it is necessary to outsource data in the encrypted form. In the attribute-based keyword search schemes, the authorized users can generate some search tokens and send them to the cloud for running the search operation. A new cryptographic primitive called key-policy attribute-based temporary keyword search provides this property. To evaluate the security of our scheme, we formally prove that our proposed scheme achieves the keyword secrecy property and is secure against selectively chosen keyword attack both in the random oracle model and under the hardness of Decisional Bilinear Diffie-Hellman assumption.

Cipher text, Token, Encrypted form, leakage information, Temporary keyword

[1] D. Boneh, G. Di Crescenzo, R. Ostrovsky, and G. Persiano, “Public key encryption with keyword search,” in Advances in Cryptology-Eurocrypt 2004. Springer, 2004, pp. 506–522.
[2] Q. Zheng, S. Xu, and G. Ateniese, “Vabks: Verifiable attribute-based keyword search over outsourced encrypted data,” in INFOCOM, 2014 Proceedings IEEE. IEEE, 2014, pp. 522–530.
[3] A. Sahai and B. Waters, “Fuzzy identity-based encryption,” in Advances in Cryptology– EUROCRYPT 2005. Springer, 2005, pp. 457–473.
[4] M. Abdalla, M. Bellare, D. Catalano, E. Kiltz, T. Kohno, T. Lange, J. Malone-Lee, G. Neven, P. Paillier, and H. Shi, “Searchable encryption revisited: Consistency properties, relation to anonymous ibe, and exten- sions,” in Advances in Cryptology–CRYPTO 2005. Springer, 2005, pp. 205–222.
[5] X. Boyen and B. Waters, “Anonymous hierarchical identity-based en- cryption (without random oracles),” in Annual International Cryptology Conference. Springer, 2006, pp. 290–307.
[6] Y. Yu, J. Ni, H. Yang, Y. Mu, and W. Susilo, “Efficient public key encryption with revocable keyword search,” Security and Communication Networks, vol. 7, no. 2, pp. 466–472, 2014.
[7] Z. Fu, X. Wu, C. Guan, X. Sun, and K. Ren, “Toward efficient multikeyword fuzzy search over encrypted outsourced data with accuracy improvement,” IEEE Transactions on Information Forensics and Security, vol. 11, no. 12, pp. 2706–2716, 2016.
[8] N. Cao, C. Wang, M. Li, K. Ren, and W. Lou, “Privacypreserving multi- keyword ranked search over encrypted cloud data,” IEEE Transactions on parallel and distributed systems, vol. 25, no. 1, pp. 222–233, 2014.
[9] H. Li, Y. Yang, T. H. Luan, X. Liang, L. Zhou, and X. S. Shen, “Enabling fine-grained multi-keyword search supporting classified sub-dictionaries over encrypted cloud data,” IEEE Transactions on Dependable and Secure Computing, vol. 13, no. 3, pp. 312–325, 2016.