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A Secure and Fast Range Query Scheme for Encrypted Multi-Dimensional Data
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Author(s): Zhuolin Mei (Jiujiang University, China), Huilai Zou (Zhejiang Institute of Mechanical and Electrical Engineering, China), Jinzhou Huang (Hubei University of Arts and Science, China), Caicai Zhang (Zhejiang Institute of Mechanical and Electrical Engineering, China), Bin Wu (Jiujiang University, China), Jiaoli Shi (Jiujiang Key Laboratory of Cyberspace and Information Security, China)and Zhengxiang Cheng (Jiujiang University, China)
Copyright: 2024
Volume: 21
Issue: 1
Pages: 17
Source title:
International Journal of Web Services Research (IJWSR)
Editor(s)-in-Chief: Liang-Jie Zhang (Kingdee International Software Group, China)and Chia-Wen Tsai (Ming Chuan University, Taiwan)
DOI: 10.4018/IJWSR.340391
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Abstract
In recent years, more and more data has been stored on the cloud to provide various services. These data often contain users' private information, which inevitably raises concerns about data security. Encryption before outsourcing is a direct solution to mitigate these concerns. However, traditional encryption schemes such as block encryption make basic data services hard to support. Therefore, this paper proposes a secure and fast range query scheme for encrypted multi-dimensional data, called SFRQ. The scheme constructs a secure index over the ciphertexts of multi-dimensional data, utilizing the R-tree index, Bloom filter, and 0-1 encoding techniques. This secure index enables the cloud to provide fast range query services over the ciphertexts of multi-dimensional data. The authors have evaluated SFRQ through extensive experiments, which demonstrate its high efficiency. Additionally, the security analysis shows that no external entity, including the cloud, can obtain additional information during the entire query process.
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