Efficient and Privacy-Preserving Spatial Keyword Similarity Query Over Encrypted Data-Reference-Cited by-同舟云学术

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Efficient and Privacy-Preserving Spatial Keyword Similarity Query Over Encrypted Data

Published:2022 Issue: Volume: Page:1-16
ISSN:1545-5971
Container-title:IEEE Transactions on Dependable and Secure Computing
language:
Short-container-title:IEEE Trans. Dependable and Secure Comput.

Author:

Zhang Songnian¹^ORCID,Ray Suprio¹^ORCID,Lu Rongxing¹^ORCID,Guan Yunguo¹^ORCID,Zheng Yandong²^ORCID,Shao Jun³^ORCID

Affiliation:

1. Faculty of Computer Science, University of New Brunswick, Fredericton, NB, Canada

2. State Key Laboratory of Integrated Services Networks, Xidian University, Xi'an, China

3. School of Computer and Information Engineering, Zhejiang Gongshang University, Hangzhou, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/8858/4358699/09971754.pdf?arnumber=9971754

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2. BopSkyline: Boosting privacy-preserving skyline query service in the cloud;Computers & Security;2024-05

3. Blockchain-Assisted Secure Deduplication for Large-Scale Cloud Storage Service;IEEE Transactions on Services Computing;2024-05

4. Morphling: A Throughput-Maximized TFHE-based Accelerator using Transform-domain Reuse;2024 IEEE International Symposium on High-Performance Computer Architecture (HPCA);2024-03-02

5. Privacy-Preserving Collaborative Learning: A Scheme Providing Heterogeneous Protection;IEEE Internet of Things Journal;2024-01-15

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