BMF-CP-ABE: Blockchain-Based Multi-Keyword Fuzzy Searchable Attribute-Based Encryption Scheme
Lianzhe Tang, Chongshu Zhong, Zhixin Sun · 2025
With the rapid development of cloud computing and blockchain technology, data privacy protection and efficient retrieval have become particularly important in large-scale data storage and sharing environments. To address the limitations of existing schemes in fuzzy search and access control, this paper proposes a blockchain-based multi-keyword fuzzy searchable attribute encryption scheme (BMF-CP-ABE). The scheme leverages the decentralized, transparent, and tamper-proof characteristics of blockchain, combining attribute-based encryption and searchable encryption technologies, and employs smart contracts to achieve efficient data retrieval. The scheme supports fuzzy keyword matching and multi-keyword queries, significantly enhancing search efficiency and user experience. Additionally, the scheme introduces a threshold secret sharing mechanism, distributing the process of generating the user private key across multiple attribute authorities. This not only strengthens the system's security but also improves computational efficiency. Experimental results show that, in terms of key generation, trapdoor generation, keyword encryption, and search matching, this scheme demonstrates significant performance advantages compared to existing methods, with high scalability and practical application value.