• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

Secure and Efficient Conjunctive Keyword Search Scheme without Secure Channel


Abstract

Conjunctive keyword search encryption is an important technique for protecting sensitive data that is outsourced to cloud servers. However, the process of searching outsourced data may facilitate the leakage of sensitive data. Thus, an efficient data search approach with high security is critical. To solve this problem, an efficient conjunctive keyword search scheme based on ciphertext-policy attribute-based encryption is proposed for cloud storage environment. This paper proposes an efficient mechanism for removing the secure channel and resisting off-line keyword-guessing attacks. The storage overhead and the computational complexity are regardless of the number of keywords. This scheme is proved adaptively secure based on the decisional bilinear Diffie-Hellman assumption in the standard model. Finally, the results of theoretical analysis and experimental simulation show that the proposed scheme has advantages in security, storage overhead and efficiency, and it is more suitable for practical applications.


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Cite this article

[IEEE Style]
J. Wang, Z. Zhao, L. Sun, Z. Zhu, "Secure and Efficient Conjunctive Keyword Search Scheme without Secure Channel," KSII Transactions on Internet and Information Systems, vol. 13, no. 5, pp. 2718-2731, 2019. DOI: 10.3837/tiis.2019.05.026.

[ACM Style]
Jianhua Wang, Zhiyuan Zhao, Lei Sun, and Zhiqiang Zhu. 2019. Secure and Efficient Conjunctive Keyword Search Scheme without Secure Channel. KSII Transactions on Internet and Information Systems, 13, 5, (2019), 2718-2731. DOI: 10.3837/tiis.2019.05.026.

[BibTeX Style]
@article{tiis:22111, title="Secure and Efficient Conjunctive Keyword Search Scheme without Secure Channel", author="Jianhua Wang and Zhiyuan Zhao and Lei Sun and Zhiqiang Zhu and ", journal="KSII Transactions on Internet and Information Systems", DOI={10.3837/tiis.2019.05.026}, volume={13}, number={5}, year="2019", month={May}, pages={2718-2731}}