FGDA: Fine-grained data analysis in privacy-preserving smart grid communications-Reference-Cited by-同舟云学术

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FGDA: Fine-grained data analysis in privacy-preserving smart grid communications

Published:2017-11-09 Issue:5 Volume:11 Page:966-978
ISSN:1936-6442
Container-title:Peer-to-Peer Networking and Applications
language:en
Short-container-title:Peer-to-Peer Netw. Appl.

Author:

Ge Shanshan,Zeng Peng,Lu Rongxing,Choo Kim-Kwang Raymond

Funder

NSFC-Zhejiang Joint Fund

Natural Science Foundation of Shanghai

National Natural Science Foundation of China

Shanghai Sailing Program

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Software

Link

http://link.springer.com/article/10.1007/s12083-017-0618-9/fulltext.html

Reference26 articles.

1. Heydt GT (2010) The next generation of power distribution systems. IEEE Trans Smart Grid 1(3):225–235

2. Li B, Lu R, Wang W et al (2017) Distributed host-based collaborative detection for false data injection attacks in smart grid cyber-physical system. J Parallel Distrib Comput 103:32–41

3. Liu J, Yu X, Xu Z et al (2017) A cloud-based taxi trace mining framework for smart city. Soft Practice and Exper 47(8):1081– 1094

4. Choo KKR (2014) A conceptual interdisciplinary plug-and-play cyber security framework. In: ICTs and the millennium development goals. Springer US, pp 81–99

5. Yan Y, Qian Y, Sharif H et al (2012) A survey on cyber security for smart grid communications. IEEE Commun Surv Tutorials 14(4):998–1010

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2. A Blockchain-Enabled Authentication and Conserved Data Aggregation Scheme for Secure Smart Grids;IEEE Access;2023

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4. Efficient Privacy-Preserving Data Aggregation Scheme with Fault Tolerance in Smart Grid;Security and Communication Networks;2022-01-25

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