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Research Article | Open Access

A Blockchain-Enabled Lightweight Boolean Multi-Keyword Search Scheme for Encrypted EHRs in Medical Cloud Environments

School of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan 430065, China, and also with Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System, Wuhan University of Science and Technology, Wuhan 430065, China
College of Science and Engineering, Hamad Bin Khalifa University, Doha 34110, Qatar
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Abstract

To tackle the growing need for efficient and fine-grained ciphertext access control and search capabilities in managing large-scale electronic health records (EHRs) within medical cloud environments, we propose a novel blockchain-enabled lightweight boolean multi-keyword search scheme. This cutting-edge solution integrates attribute-based access control with boolean multi-keyword search by embedding access structure within the index and incorporating search structures within the trapdoor. By harnessing the power of blockchain technology, our approach facilitates outsourced encryption, decryption, and search operations for EHRs, effectively eliminating the necessity for additional result verification. Through comprehensive security analysis and performance evaluation, we demonstrate that our proposed scheme not only exhibits robust security features but also significantly reduces computational, storage, and communication overhead when compared to the state of the arts. Notably, the computational overhead of index generation is reduced by at least 36.4%, underscoring the efficiency of our approach. Furthermore, our scheme achieves exceptional efficiency in smart contract execution, rendering it particularly suitable for resource-constrained devices in medical cloud environments.

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Tsinghua Science and Technology
Pages 1750-1763

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Cite this article:
He H, Chen Y, Lu J, et al. A Blockchain-Enabled Lightweight Boolean Multi-Keyword Search Scheme for Encrypted EHRs in Medical Cloud Environments. Tsinghua Science and Technology, 2026, 31(3): 1750-1763. https://doi.org/10.26599/TST.2025.9010073
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Received: 04 December 2024
Revised: 02 April 2025
Accepted: 25 April 2025
Published: 14 November 2025
© The author(s) 2026.

The articles published in this open access journal are distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/).