PLDP: Personalized Local Differential Privacy for Multidimensional Data Aggregation
The collection of multidimensional crowdsourced data has caused a public concern because of the privacy issues. To address it, local differential privacy (LDP) is proposed to protect the crowdsourced data without much loss of usage, which is popularly used in practice. However, the existing LDP prot...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Hindawi-Wiley
2021-01-01
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Series: | Security and Communication Networks |
Online Access: | http://dx.doi.org/10.1155/2021/6684179 |