Open Access

ARTICLE

Efficient Multi-Authority Attribute-Based Searchable Encryption Scheme with Blockchain Assistance for Cloud-Edge Coordination

Peng Liu¹, Qian He^1,*, Baokang Zhao², Biao Guo¹, Zhongyi Zhai¹

1 School of Computer and Information Security, Guilin University of Electronic Technology, Guilin, 541004, China
2 School of Computer Science, National University of Defense Technology, Changsha, 410073, China

* Corresponding Author: Qian He. Email:

(This article belongs to the Special Issue: Innovative Security for the Next Generation Mobile Communication and Internet Systems)

Computers, Materials & Continua 2023, 76(3), 3325-3343. https://doi.org/10.32604/cmc.2023.041167

Received 13 April 2023; Accepted 26 June 2023; Issue published 08 October 2023

Abstract

Cloud storage and edge computing are utilized to address the storage and computational challenges arising from the exponential data growth in IoT. However, data privacy is potentially risky when data is outsourced to cloud servers or edge services. While data encryption ensures data confidentiality, it can impede data sharing and retrieval. Attribute-based searchable encryption (ABSE) is proposed as an effective technique for enhancing data security and privacy. Nevertheless, ABSE has its limitations, such as single attribute authorization failure, privacy leakage during the search process, and high decryption overhead. This paper presents a novel approach called the blockchain-assisted efficient multi-authority attribute-based searchable encryption scheme (BEM-ABSE) for cloud-edge collaboration scenarios to address these issues. BEM-ABSE leverages a consortium blockchain to replace the central authentication center for global public parameter management. It incorporates smart contracts to facilitate reliable and fair ciphertext keyword search and decryption result verification. To minimize the computing burden on resource-constrained devices, BEM-ABSE adopts an online/offline hybrid mechanism during the encryption process and a verifiable edge-assisted decryption mechanism. This ensures both low computation cost and reliable ciphertext. Security analysis conducted under the random oracle model demonstrates that BEM-ABSE is resistant to indistinguishable chosen keyword attacks (IND-CKA) and indistinguishable chosen plaintext attacks (IND-CPA). Theoretical analysis and simulation results confirm that BEM-ABSE significantly improves computational efficiency compared to existing solutions.

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Keywords

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