PRIVACY-PRESERVING

作品数：232被引量：344H指数：9
导出分析报告
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>>
相关期刊：更多>>
相关基金：国家自然科学基金中国博士后科学基金国家教育部博士点基金北京市自然科学基金更多>>
-
在结果中检索

检索结果分析

结果分析中...
共 条 记 录，以下是1-10
全选清除导出
参考文献引证文献引用追踪
视图：
排序：
P2V-Fabric: Privacy-Preserving Video Using Hyperledger Fabric
《Computers, Materials & Continua》2025年第5期1881-1900,共20页Muhammad Saad Ki-Woong Park 
supported by the Institute of Information&Communications Technology Planning&Evaluation(IITP)(Project Nos.RS-2024-00438551,30%,2022-11220701,30%,2021-0-01816,30%);the National Research Foundation of Korea(NRF)grant funded by the Korean Government(Project No.RS-2023-00208460,10%).
Theproliferation of Internet of Things(IoT)devices introduces substantial security challenges.Currently,privacy constitutes a significant concern for individuals.While maintaining privacy within these systems is an es...
关键词：Blockchain IOT hyperledger fabric verifiable credentials PRIVACY 
LMSA:A Lightweight Multi-Key Secure Aggregation Framework for Privacy-Preserving Healthcare AIoT
《Computer Modeling in Engineering & Sciences》2025年第4期827-847,共21页Hyunwoo Park Jaedong Lee 
supported by the National Research Foundation of Korea(NRF)grant funded by the Korea government(MSIT)(No.NRF-2022R1C1C2012463).
Integrating Artificial Intelligence of Things(AIoT)in healthcare offers transformative potential for real-time diagnostics and collaborative learning but presents critical challenges,including privacy preservation,com...
关键词：Secure aggregation LIGHTWEIGHT federated learning 
Privacy-preserving recommendation with coarse-grained spatiotemporal contexts
《Science China(Information Sciences)》2025年第4期62-77,共16页Lei CHEN Chen GAO Jiahuan LEI Xiaoyi DU Xinlei SHI Hengliang LUO Depeng JIN Yong LI Meng WANG 
supported in part by National Natural Science Foundation of China(Grant Nos.72188101,62272262,72342032,72442026,62402077);National Key Research and Development Program of China(Grant No.2022YFB3104-702);New Cornerstone Science Foundation through the XPLORER PRIZE,China Postdoctoral Science Foundation(Grant No.2023M741943);Postdoctoral Fellowship Program of CPSF(Grant No.GZC20231373)。
The behavior of users on online life service platforms like Meituan and Yelp often occurs within specific finegrained spatiotemporal contexts(i.e.,when and where).Recommender systems,designed to serve millions of user...
关键词：privacy-preserveing coarse-grained spatiotemporal contexts recommender systems 
EPRFL:An Efficient Privacy-Preserving and Robust Federated Learning Scheme for Fog Computing
《China Communications》2025年第4期202-222,共21页Ke Zhijie Xie Yong Syed Hamad Shirazi Li Haifeng 
supported in part by the National Natural Science Foundation of China(62462053);the Science and Technology Foundation of Qinghai Province(2023-ZJ-731);the Open Project of the Qinghai Provincial Key Laboratory of Restoration Ecology in Cold Area(2023-KF-12);the Open Research Fund of Guangdong Key Laboratory of Blockchain Security,Guangzhou University。
Federated learning(FL)is a distributed machine learning paradigm that excels at preserving data privacy when using data from multiple parties.When combined with Fog Computing,FL offers enhanced capabilities for machin...
关键词：federated learning fog computing internet of things PRIVACY-PRESERVING ROBUSTNESS 
Privacy-preserving filtering,control and optimization for industrial cyber-physical systems
《Science China(Information Sciences)》2025年第4期263-279,共17页Derui DING Qing-Long HAN Xiaohua GE Xian-Ming ZHANG Jun WANG 
supported in part by National Natural Science Foundation of China(Grant No.62373251)。
Industrial cyber-physical systems closely integrate physical processes with cyberspace,enabling real-time exchange of various information about system dynamics,sensor outputs,and control decisions.The connection betwe...
关键词：industrial cyber-physical systems privacy preservation distributed control distributed optimization power systems 
A Privacy-Preserving Graph Neural Network Framework with Attention Mechanism for Computational Offloading in the Internet of Vehicles
《Computer Modeling in Engineering & Sciences》2025年第4期225-254,共30页Aishwarya Rajasekar Vetriselvi Vetrian 
The integration of technologies like artificial intelligence,6G,and vehicular ad-hoc networks holds great potential to meet the communication demands of the Internet of Vehicles and drive the advancement of vehicle ap...
关键词：Internet of vehicles vehicular ad-hoc networks(VANET) multiaccess edge computing task offloading graph neural networks differential privacy 
MMH-FE:AMulti-Precision and Multi-Sourced Heterogeneous Privacy-Preserving Neural Network Training Based on Functional Encryption
《Computers, Materials & Continua》2025年第3期5387-5405,共19页Hao Li Kuan Shao Xin Wang Mufeng Wang Zhenyong Zhang 
supported by Natural Science Foundation of China(Nos.62303126,62362008,author Z.Z,https://www.nsfc.gov.cn/,accessed on 20 December 2024);Major Scientific and Technological Special Project of Guizhou Province([2024]014);Guizhou Provincial Science and Technology Projects(No.ZK[2022]General149) ,author Z.Z,https://kjt.guizhou.gov.cn/,accessed on 20 December 2024);The Open Project of the Key Laboratory of Computing Power Network and Information Security,Ministry of Education under Grant 2023ZD037,author Z.Z,https://www.gzu.edu.cn/,accessed on 20 December 2024);Open Research Project of the State Key Laboratory of Industrial Control Technology,Zhejiang University,China(No.ICT2024B25),author Z.Z,https://www.gzu.edu.cn/,accessed on 20 December 2024).
Due to the development of cloud computing and machine learning,users can upload their data to the cloud for machine learning model training.However,dishonest clouds may infer user data,resulting in user data leakage.P...
关键词：Functional encryption multi-sourced heterogeneous data privacy preservation neural networks 
A Hierarchical Networking and Privacy-Preserving Federated Learning Framework for 5G Networks
《Journal of Communications and Information Networks》2025年第1期26-36,共11页Chen Guo Fang Cui Chao Xu Mohan Su Zhihao Wang Hongjia Li 
supported by the Climbing Program of Institute of Information Engineering,Chinese Academy of Sciences under Grant E3Z0031.
Artificial intelligence(AI)has been widely envisioned as a key enabler for 5G and beyond networks.To integrate AI into mobile networks,the third generation partnership(3GPP)introduces the network data analytics functi...
关键词：5G network federated learning privacy preservation communication overhead hierarchical architecture 
Privacy-Preserving Fingerprint Recognition via Federated Adaptive Domain Generalization
《Computers, Materials & Continua》2025年第3期5035-5055,共21页Yonghang Yan Xin Xie Hengyi Ren Ying Cao Hongwei Chang 
supported by the National Natural Science Foundation of China(Nos.62002100,61902237);Key Research and Promotion Projects of Henan Province(Nos.232102240023,232102210063,222102210040).
Fingerprint features,as unique and stable biometric identifiers,are crucial for identity verification.However,traditional centralized methods of processing these sensitive data linked to personal identity pose signifi...
关键词：Fingerprint recognition privacy protection federated learning adaptive weight adjustment 
Federated local causal structure learning
《Science China(Information Sciences)》2025年第3期106-120,共15页Kui YU Chen RONG Hao WANG Fuyuan CAO Jiye LIANG 
supported by National Science and Technology Major Project of China(Grant No.2020AAA0106100);National Natural Science Foundation of China(Grant Nos.62376087,62306002)。
Local causal structure learning(LCS)efficiently identifies a set of direct neighbors of a specified variable from observational data.Additionally,it distinguishes direct causes and direct effects of this variable with...
关键词：local causal structure learning federated learning directed acyclic graph privacy-preserving data federated layer-wise strategy 
全选清除导出
共24页<12345678910>
检索报告 对象比较 聚类工具 使用帮助 返回顶部