EPSet: Efficient and Privacy-Preserving Set Similarity Range Query Over Encrypted Data-Reference-Cited by-同舟云学术

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EPSet: Efficient and Privacy-Preserving Set Similarity Range Query Over Encrypted Data

Published:2024-03 Issue:2 Volume:17 Page:524-536
ISSN:1939-1374
Container-title:IEEE Transactions on Services Computing
language:
Short-container-title:IEEE Trans. Serv. Comput.

Author:

Zheng Yandong¹^ORCID,Lu Rongxing²^ORCID,Guan Yunguo³^ORCID,Zhang Songnian¹^ORCID,Shao Jun⁴^ORCID,Wang Fengwei¹^ORCID,Zhu Hui¹^ORCID

Affiliation:

1. State Key Laboratory of Integrated Services Networks, Xidian University, Xi’an, China

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

3. School of Information Security and Applied Computing, Eastern Michigan University, Ypsilanti, MI, USA

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

Funder

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Natural Science Basic Research Plan in Shaanxi Province of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/4629386/10495295/10470435.pdf?arnumber=10470435

Reference35 articles.

1. Privacy Preserving Jaccard Similarity by Cloud-Assisted for Classification

2. An Efficient Framework for Exact Set Similarity Search Using Tree Structure Indexes

3. A worker-selection incentive mechanism for optimizing platform-centric mobile crowdsourcing systems

4. A New Communication-Efficient Privacy-Preserving Range Query Scheme in Fog-Enhanced IoT

5. Efficient privacy-preserving data merging and skyline computation over multi-source encrypted data

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