A privacy-preserving aggregation scheme based on negative survey for vehicle fuel consumption data-Reference-Cited by-同舟云学术

A privacy-preserving aggregation scheme based on negative survey for vehicle fuel consumption data

Published:2021-09 Issue: Volume:570 Page:526-544
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Yang Weidong,Chen Xingxing,Xiong Zenggang^ORCID,Xu Zhenqiang,Liu Gang^ORCID,Zhang Xuemin

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

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

Reference33 articles.

1. LRSPPP: Lightweight r-lwe-based secure and privacy-preserving scheme for prosumer side network in smart grid;Agarkar;Heliyon,2019

2. Estimating positive surveys from negative surveys;Bao;Statistics & Probability Letters,2013

3. An accurate negative survey using answer confidence level;Cai,2019

4. Spatial statistic data release based on differential privacy;Cai;TIIS,2019

5. Spha: Smart personal health advisor based on deep analytics;Chen;IEEE Communications Magazine,2018

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