Secure k-skyband computation framework in distributed multi-party databases-Reference-Cited by-同舟云学术

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Secure k-skyband computation framework in distributed multi-party databases

Published:2020-04 Issue: Volume:515 Page:388-403
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Qaosar Mahboob^ORCID,Zaman Asif^ORCID,Siddique Md. Anisuzzaman,Li Chen,Morimoto Yasuhiko

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference41 articles.

1. Privacy-preserving data mining;Agrawal,2000

2. An efficient method for privacy preserving data mining in secure multiparty computation;Pathak,2013

3. The skyline operator;Borzsony,2001

4. Secure and efficient skyline queries on encrypted data;Liu;IEEE Trans. Knowl. Data Eng.,2018

5. Efficient and privacy-preserving skyline computation framework across domains;Liu;Future Generat. Comput. Syst.,2016

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1. A survey of the fusion of traditional data security technology and blockchain;Expert Systems with Applications;2024-10

2. Research on interconnection technology of heterogeneous platforms for privacy computing for energy big data;2024 3rd International Conference on Energy and Power Engineering, Control Engineering (EPECE);2024-02-23

3. Secure two-party input-size reduction: Challenges, solutions and applications;Information Sciences;2021-08

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