Efficient Verifiable Range and Closest Point Queries in Zero-Knowledge
We present an efficient method for answering one-dimensional range and closest-point queries in a verifiable and privacy-preserving manner. We consider a model where a data owner outsources a dataset of key-value pairs to a server, who answers range and closest-point queries issued by a client and p...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Sciendo
2016-10-01
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Series: | Proceedings on Privacy Enhancing Technologies |
Subjects: | |
Online Access: | https://doi.org/10.1515/popets-2016-0045 |