典型文献
A verifiable privacy-preserving data collection scheme supporting multi-party computation in fog-based smart grid
文献摘要：
Incorporation of fog computing with low latency,preprocession (e.g.,data aggregation) and location awareness,can facilitate fine-grained collection of smart metering data in smart grid and promotes the sustainability and efficiency of the grid.Recently,much attention has been paid to the research on smart grid,especially in protecting privacy and data aggrega-tion.However,most previous works do not focus on privacy-preserving data aggregation and function computation query on enormous data simultaneously in smart grid based on fog com-putation.In this paper,we construct a novel verifiable privacy-preserving data collection scheme supporting multi-party com-putation(MPC),named VPDC-MPC,to achieve both functions simultaneously in smart grid based on fog computing.VPDC-MPC realizes verifiable secret sharing of users' data and data aggregation without revealing individual reports via practical cryptosystem and verifiable secret sharing scheme.Besides,we propose an efficient algorithm for batch verification of share consistency and detection of error reports if the extemal adver-saries modify the SMs' report.Furthermore,VPDC-MPC al-lows both the control center and users with limited resources to obtain arbitrary arithmetic analysis (not only data aggrega-tion) via secure multi-party computation between cloud servers in smart grid.Besides,VPDC-MPC tolerates fault of cloud servers and resists collusion.We also present security analysis and performance evaluation of our scheme,which indicates that even with tradeoff on computation and communication over-head,VPDC-MPC is practical with above features.
文献关键词：
中图分类号：
作者姓名：
Zhusen LIU;Zhenfu CAO;Xiaolei DONG;Xiaopeng ZHAO;Haiyong BAO;Jiachen SHEN
作者机构：
Shanghai Key Laboratory of Trustworthy Computing,East China Normal University,Shanghai 200062,China;Cyberspace Security Research Center,Peng Cheng Laboratory,Shenzhen 518055,China;School of Computer Science and Information Engineering,Zhejiang Gongshang University,Hangzhou 310018,China
文献出处：
引用格式：
[1]Zhusen LIU;Zhenfu CAO;Xiaolei DONG;Xiaopeng ZHAO;Haiyong BAO;Jiachen SHEN-.A verifiable privacy-preserving data collection scheme supporting multi-party computation in fog-based smart grid)[J].计算机科学前沿,2022(01):132-142
A类：
preprocession,VPDC,extemal,saries
B类：
verifiable,privacy,preserving,data,collection,scheme,supporting,multi,party,computation,fog,smart,grid,Incorporation,computing,latency,aggregation,location,awareness,can,facilitate,fine,grained,metering,promotes,sustainability,efficiency,Recently,much,attention,has,been,paid,research,especially,protecting,However,most,previous,works,do,not,focus,query,enormous,simultaneously,this,paper,construct,novel,MPC,named,achieve,both,functions,realizes,secret,sharing,users,without,revealing,individual,reports,via,practical,cryptosystem,Besides,propose,efficient,algorithm,batch,verification,share,consistency,detection,error,adver,modify,SMs,Furthermore,lows,control,center,limited,resources,obtain,arbitrary,arithmetic,analysis,only,secure,between,cloud,servers,tolerates,fault,resists,collusion,We,also,present,security,performance,evaluation,which,indicates,that,even,tradeoff,communication,over,head,above,features
AB值：
0.484455
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