Netinfo Security ›› 2024, Vol. 24 ›› Issue (9): 1444-1457.doi: 10.3969/j.issn.1671-1122.2024.09.012

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Multi-Keyword Searchable Encryption Scheme Based on Cloud Storage

XIE Xiaofeng, ZHANG Xintao, WANG Xin, LU Xiuqing()   

  1. College of Computer Science and Technology, Qingdao University, Qingdao 266071, China
  • Received:2023-11-16 Online:2024-09-10 Published:2024-09-27

Abstract:

Attribute-based searchable encryption(ABSE) enables secure and efficient controlled searches on encrypted data. However, existing multi-keyword ABSE schemes suffer from excessive computational overhead. Moreover, the prevalence of storing a substantial volume of data in cloud servers further exacerbates the problem of data redundancy. This paper proposed a cloud-based multi-keyword searchable encryption scheme to address the aforementioned issues. The scheme introduced a cloud-edge collaborative working model. Encrypted data was stored on cloud servers. Meanwhile, encrypted indexes were uploaded to the nearest node to perform keyword search and assisted decryption, reducing the system overhead. To further alleviate the client’s computational costs, the scheme employed a pre-encryption mechanism. Additionally, the scheme employed data tagging to achieve data deduplication and introduced verification algorithms to ensure the integrity and correctness of search results. Security analysis and performance evaluation demonstrate the effectiveness and practicality of the proposed scheme. The comparison with other schemes reveal that the proposed scheme outperforms in terms of performance and offers more comprehensive functionality.

Key words: attribute-based encryption, ciphertext verification, pre-encryption, cloud-edge collaboration, data deduplication

CLC Number: