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Attribute-Based Keyword Search over the Encrypted Blockchain

Zhen Yang1, Hongao Zhang1, Haiyang Yu1,*, Zheng Li1, Bocheng Zhu1, Richard O. Sinnott2

1 Faculty of Information Technology, Beijing University of Technology, Beijing, 100124, China
2 School of Computing and Information Systems, The University of Melbourne, Victoria, 3010, Australia

* Corresponding Author: Haiyang Yu. Email: email

(This article belongs to the Special Issue: Blockchain Security)

Computer Modeling in Engineering & Sciences 2021, 128(1), 269-282.


To address privacy concerns, data in the blockchain should be encrypted in advance to avoid data access from all users in the blockchain. However, encrypted data cannot be directly retrieved, which hinders data sharing in the blockchain. Several works have been proposed to deal with this problem. However, the data retrieval in these schemes requires the participation of data owners and lacks finer-grained access control. In this paper, we propose an attribute-based keyword search scheme over the encrypted blockchain, which allows users to search encrypted files over the blockchain based on their attributes. In addition, we build a file chain structure to improve the efficiency of searching files with the same keyword. Security analysis proves the security of the proposed scheme. Theoretical analysis and experimental results in performance evaluation show that our scheme is feasible and efficient.


Cite This Article

APA Style
Yang, Z., Zhang, H., Yu, H., Li, Z., Zhu, B. et al. (2021). Attribute-based keyword search over the encrypted blockchain. Computer Modeling in Engineering & Sciences, 128(1), 269-282.
Vancouver Style
Yang Z, Zhang H, Yu H, Li Z, Zhu B, Sinnott RO. Attribute-based keyword search over the encrypted blockchain. Comput Model Eng Sci. 2021;128(1):269-282
IEEE Style
Z. Yang, H. Zhang, H. Yu, Z. Li, B. Zhu, and R.O. Sinnott "Attribute-Based Keyword Search over the Encrypted Blockchain," Comput. Model. Eng. Sci., vol. 128, no. 1, pp. 269-282. 2021.

cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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