典型文献
Distributed Privacy-Preserving Fusion Estimation Using Homomorphic Encryption
文献摘要：
The privacy-preserving problem for distributed fusion estimation scheme is concerned in this paper. When legitimate user wants to obtain consistent information from multiple sensors, it always employs a fusion center (FC) to gather local data and compute distributed fusion estimates (DFEs). Due to the existence of potential eavesdropper, the data exchanged among sensors, FC and user imperatively require privacy preservation. Hence, we propose a distributed confidentiality fusion structure against eavesdropper by using Paillier homomorphic encryption approach. In this case, FC cannot acquire real values of local state estimates, while it only helps calculate encrypted DFEs. Then, the legitimate user can successfully obtain the true values of DFEs according to the encrypted information and secret keys, which is based on the homomorphism of encryption. Finally, an illustrative example is provided to verify the effectiveness of the proposed methods.
文献关键词：
中图分类号：
作者姓名：
Xinhao Yan;Siqin Zhuo;Yancheng Wu;Bo Chen
作者机构：
College of Informa-tion Engineering,Zhejiang University of Technology,Hangzhou 310023,China;Zhejiang Provin-cial United Key Laboratory of Embedded Systems,Hangzhou 310032,China;College of Information Engineering,Zhejiang University of Technology,Hangzhou 310023,China;College of Science,Zhejiang Univer-sity of Technology,Hangzhou 310023,China
文献出处：
引用格式：
[1]Xinhao Yan;Siqin Zhuo;Yancheng Wu;Bo Chen-.Distributed Privacy-Preserving Fusion Estimation Using Homomorphic Encryption)[J].北京理工大学学报（英文版）,2022(06):551-558
A类：
DFEs,imperatively,homomorphism
B类：
Distributed,Privacy,Preserving,Fusion,Estimation,Using,Homomorphic,Encryption,privacy,preserving,problem,distributed,fusion,estimation,scheme,concerned,this,paper,When,legitimate,user,wants,obtain,consistent,information,from,multiple,sensors,always,employs,center,FC,gather,local,data,compute,estimates,Due,existence,potential,eavesdropper,exchanged,among,require,preservation,Hence,we,confidentiality,structure,against,by,using,Paillier,homomorphic,encryption,approach,In,case,cannot,acquire,real,values,state,while,only,helps,calculate,encrypted,Then,successfully,true,according,secret,keys,which,Finally,illustrative,example,provided,verify,effectiveness,proposed,methods
AB值：
0.632825
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