PRIVACY-PRESERVING

作品数：222被引量：342H指数：9
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相关领域：自动化与计算机技术更多>>
相关作者：杨萍杨明马朝虹更多>>
相关机构：电子科技大学复旦大学燕山大学上海交通大学更多>>
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Privacy-Preserving Federated Mobility Prediction with Compound Data and Model Perturbation Mechanism
《China Communications》2024年第3期160-173,共14页Long Qingyue Wang Huandong Chen Huiming Jin Depeng Zhu Lin Yu Li Li Yong 
supported in part by the National Key Research and Development Program of China under 2020AAA0106000;the National Natural Science Foundation of China under U20B2060 and U21B2036;supported by a grant from the Guoqiang Institute, Tsinghua University under 2021GQG1005
Human mobility prediction is important for many applications.However,training an accurate mobility prediction model requires a large scale of human trajectories,where privacy issues become an important problem.The ris...
关键词：federated learning mobility prediction PRIVACY 
A Privacy-Preserving Federated Learning Algorithm for Intelligent Inspection in Pumped Storage Power Station
《China Communications》2023年第12期182-195,共14页Yue Zong Yuanlin Luo YuechaoWu Wenjian Hu Hui Luo Yao Yu 
supported by the National Natural Science Foundation of China under Grant 62171113。
As a distributed machine learning architecture,Federated Learning(FL)can train a global model by exchanging users’model parameters without their local data.However,with the evolution of eavesdropping techniques,attac...
关键词：federated learning(FL) fully homomorphic encryption(FHE) intelligent inspection multikey RNS-CKKS parameter compression 
Privacy-Preserving Deep Learning on Big Data in Cloud
《China Communications》2023年第11期176-186,共11页Yongkai Fan Wanyu Zhang Jianrong Bai Xia Lei Kuanching Li 
This work was partially supported by the Natural Science Foundation of Beijing Municipality(No.4222038);by Open Research Project of the State Key Laboratory of Media Convergence and Communication(Communication University of China),the National Key R&D Program of China(No.2021YFF0307600);Fundamental Research Funds for the Central Universities.
In the analysis of big data,deep learn-ing is a crucial technique.Big data analysis tasks are typically carried out on the cloud since it offers strong computer capabilities and storage areas.Nev-ertheless,there is a ...
关键词：big data cloud computing deep learning homomorphic encryption PRIVACY-PRESERVING 
Federated Learning with Blockchain for Privacy-Preserving Data Sharing in Internet of Vehicles被引量：3
《China Communications》2023年第3期69-85,共17页Wenxian Jiang Mengjuan Chen Jun Tao 
supported by the Ministry of Education Industry-University Cooperation Collaborative Education Projects of China under Grant 202102119036 and 202102082013。
Data sharing technology in Internet of Vehicles(Io V)has attracted great research interest with the goal of realizing intelligent transportation and traffic management.Meanwhile,the main concerns have been raised abou...
关键词：blockchain federated learning PRIVACY data sharing Internet of Vehicles 
OTFS-Based Efficient Handover Authentication Scheme with Privacy-Preserving for High Mobility Scenarios
《China Communications》2023年第1期36-49,共14页Dawei Li Di Liu Yu Sun Jianwei Liu 
supported by Natural Science Foundation of China(No.62002006,U2241213,U21B2021,62172025,61932011,61932014,61972018,61972019,61772538,32071775,91646203);Defense Industrial Technology Development Program(No.JCKY2021211B017)。
Handover authentication in high mobility scenarios is characterized by frequent and shortterm parallel execution.Moreover,the penetration loss and Doppler frequency shift caused by high speed also lead to the deterior...
关键词：high mobility condition handover authentication PRIVACY-PRESERVING TAMARIN OTFS 
Achieving Fuzzy Matching Data Sharing for Secure Cloud-Edge Communication被引量：2
《China Communications》2022年第7期257-276,共20页Chuan Zhang Mingyang Zhao Yuhua Xu Tong Wu Yanwei Li Liehuang Zhu Haotian Wang 
supported by the China Postdoctoral Science Foundation (Grant Nos. 2021TQ0042, 2021M700435, 2021TQ0041);the National Natural Science Foundation of China (Grant No. 62102027);the Shandong Provincial Key Research and Development Program (2021CXGC010106)
In this paper,we propose a novel fuzzy matching data sharing scheme named FADS for cloudedge communications.FADS allows users to specify their access policies,and enables receivers to obtain the data transmitted by th...
关键词：fuzzy-matching privacy-preserving set intersection cloud-edge communication data sharing 
Privacy-Preserving Incentive Mechanism for Platoon Assisted Vehicular Edge Computing with Deep Reinforcement Learning被引量：1
《China Communications》2022年第7期294-309,共16页Xumin Huang Yupei Zhong Yuan Wu Peichun Li Rong Yu 
supported in part by National Key R&D Program of China under Grant 2020YFB1807802;in part by National Natural Science Foundation of China under Grants 62001125 and 61971148;in part by FDCT-MOST Joint Project under Grant 0066/2019/AMJ;in part by Science and Technology Development Fund of Macao SAR under Grant 0162/2019/A3;in part by FDCT SKL-IOTSC(UM)2021-2023;in part by Research Grant of University of Macao under Grant MYRG2020-00107-IOTSC;in part by Guangdong Basic and Applied Basic Research Foundation under Grant 2022A1515011287
Platoon assisted vehicular edge computing has been envisioned as a promising paradigm of implementing offloading services through platoon cooperation.In a platoon,a vehicle could play as a requester that employs anoth...
关键词：vehicular edge computing Stackelberg game deep reinforcement learning 
Towards Task-Free Privacy-Preserving Data Collection
《China Communications》2022年第7期310-323,共14页Zhibo Wang Wei Yuan Xiaoyi Pang Jingxin Li Huajie Shao 
supported by National Key R&D Program of China (Grant No. 2021ZD0112803);National Natural Science Foundation of China (Grants No. 62122066, U20A20182, 61872274)
With the rapid developments of Internet of Things(IoT)and proliferation of embedded devices,large volume of personal data are collected,which however,might carry massive private information about attributes that users...
关键词：IOT privacy protection data collection adversarial learning deep learning 
PUMTD:Privacy-Preserving User-Profile Matching Protocol in Social Networks
《China Communications》2022年第6期77-90,共14页Jianhong Zhang Haoting Han Hongwei Su Zhengtao Jiang Changgen Peng 
supported in part by the Natural Science Foundation of Beijing(no.4212019,M22002);the National Natural Science Foundation of China(no.62172005);the Open Research Fund of Key Laboratory of Cryptography of Zhejiang Province(No.ZCL21014);the Foundation of Guizhou Provincial Key Laboratory of Public Big Data(no.2019BDKF JJ012)。
User profile matching can establish social relationships between different users in the social network.If the user profile is matched in plaintext,the user's privacy might face a security challenge.Although there exis...
关键词：user profile matching Chinese remainder theorem PRIVACY-PRESERVING query privacy 
An Efficient and Privacy-Preserving Data Aggregation Scheme Supporting Arbitrary Statistical Functions in IoT被引量：2
《China Communications》2022年第6期91-104,共14页Haihui Liu Jianwei Chen Liwei Lin Ayong Ye Chuan Huang 
supported by the Natural Science Foundation of Fujian Province(2018J01782);the National Natural Science Foundation of China(U1905211);the Educational scientific research project of Fujian Provincial Department of Education(JAT210291)。
The Internet of Things(IoT)has profoundly impacted our lives and has greatly revolutionized our lifestyle.The terminal devices in an IoT data aggregation application sense real-time data for the remote cloud server to...
关键词：Internet of Things data aggregation privacy protection arbitrary aggregation functions 
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