Towards Efficient and Privacy-Preserving Interval Skyline Queries Over Time Series Data
Author:
Affiliation:
1. Faculty of Computer Science, University of New Brunswick, Fredericton, Canada
2. School of Computer and Information Engineering, Zhejiang Gongshang University, Hangzhou, China
Funder
Natural Sciences and Engineering Research Council of Canada
Natural Science Foundation of Zhejiang Province
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/8858/10068314/09721579.pdf?arnumber=9721579
Reference41 articles.
1. Efficient privacy-preserving data merging and skyline computation over multi-source encrypted data
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