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ISSN (Print): 2352-0965
ISSN (Online): 2352-0973

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Research Article

Secure and Efficient Multi-keyword Fuzzy Search Over Encrypted Data on Alliance Chain

Author(s): Jimeng Song, Ziqi Shen, Han Yu, Rongxin Lai, Yuancheng Li*, Qingle Wang and JianBin Li

Volume 17, Issue 7, 2024

Published on: 02 October, 2023

Page: [652 - 665] Pages: 14

DOI: 10.2174/0123520965251866230926050714

Price: $65

Abstract

Background: Data regulation can effectively resist data privacy leakage and abuse in the process of external sharing of energy big data, but how to securely retrieve vast amounts of regulatory data is a challenge.

Objective: To securely retrieve vast amounts of regulatory data, a secure and efficient searchable encryption scheme that supports multi-keyword fuzzy retrieval on the alliance chain is proposed.

Methods: This scheme encrypts and stores the regulatory data on the hyperledger fabric alliance chain. Energy big data files (EBDF) are encrypted and stored on a cloud server. Using the symmetric searchable encryption technology to achieve secure retrieval of regulatory data on the chain and secure access to EBDF. To improve search efficiency, we propose a SDPHashMap index structure and use the special manhatton distance matrix(SMDM) measurement to calculate the similarity of queried keywords and index keywords to locate the trapdoor retrieval hash address. Utilizing the cuckoo filter cluster to test the membership of queried keywords.

Results: This scheme stores EBDF off-chain, effectively relieving the storage and communication pressure of the blockchain, improving search speed, and providing more accurate retrieval services than single keyword fuzzy retrieval. By the simulation-based adversary- challenger game model, the security analysis demonstrates that the proposed scheme has adaptive selected keyword attack semantic security.

Conclusion: Experimental results show that the proposed scheme has high efficiency in trapdoor generation and multi-keyword search stages.

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