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检索条件"机构=Shandong Provincial Key Laboratory of Computer Power Internet and Service Computing"
104 条 记 录,以下是101-110 订阅
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A Blockchain-based PHR Sharing Scheme with Attribute Privacy Protection
A Blockchain-based PHR Sharing Scheme with Attribute Privacy...
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IEEE International Conference on Trust, Security and Privacy in computing and Communications (TrustCom)
作者: Chaohe Lu Zhongyuan Yu Guijuan Wang Anming Dong Xiang Tian School of Computer Science Qufu Normal University Rizhao China School of Information Science and Engineering Lanzhou University Lanzhou China Key Laboratory of Computing Power Network and Information Security Ministry of Education Shandong Computer Science Center Qilu University of Technology (Shandong Academy of Sciences) Jinan China Shandong Provincial Key Laboratory of Industrial Network and Information System Security Shandong Fundamental Research Center for Computer Science Jinan China
With the rapid advancement and application of the internet of Medical Things (IoMT), personal health records (PHRs) are now increasingly comprised of data collected by internet of Things (IoT) devices and medical reco... 详细信息
来源: 评论
Risk Modeling and Traceability of Boundary Attacks on internet of power Systems Based on Complex Networks
Risk Modeling and Traceability of Boundary Attacks on Intern...
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IEEE International Conference on Data Science in Cyberspace (DSC)
作者: Xin Li Zhaoyang Qu Tong Yu Ming Xie Fu Yu Wei Ding School of Electrical Engineering Northeast Electric Power University Jilin China People’s Bank of China Qinghai Provincial Branch Xining China China Southern Power Grid Guangxi Power Grid Co. Ltd. Research Institute Nanning China Bijie Power Supply Bureau China Guizhou Power Grid Co. Ltd. Bijie China Key Laboratory of Computing Power Network and Information Security Ministry of Education Shandong Computer Science Center (National Supercomputer Center in Jinan) Qilu University of Technology (Shandong Academy of Sciences) Jinan China Shandong Provincial Key Laboratory of Computer Networks Shandong Fundamental Research Center for Computer Science Jinan China
With the increasing intelligence of power IoT terminal devices, the massive volume of data transmission, and the widespread adoption of shared services, traditional terminal boundary security mechanisms are unable to ... 详细信息
来源: 评论
Time-Efficient EV Energy Management Through In-Motion V2V Charging
Time-Efficient EV Energy Management Through In-Motion V2V Ch...
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IEEE Conference on Vehicular Technology (VTC)
作者: Shuohan Liu Wei Zhang Yue Cao Qiang Ni Carsten Maple Hai Lin Key Laboratory of Computing Power Network and Information Security Ministry of Education Shandong Computer Science Center (National Supercomputer Center in Jinan) Qilu University of Technology (Shandong Academy of Sciences) Jinan China Shandong Provincial Key Laboratory of Computer Networks Shandong Fundamental Research Center for Computer Science Jinan China School of Cyber Science and Engineering Wuhan University Wuhan China School of Computing and Communications Lancaster University Lancaster U.K. Warwick Manufacturing Group University of Warwick Coventry U.K.
In recent years, Electric Vehicles (EVs) have emerged as a sustainable alternative to internal combustion vehicles, noted for better efficiency, lower operational costs, and reduced carbon emissions. However, with the... 详细信息
来源: 评论
A Systematic Literature Review of Robust Federated Learning: Issues, Solutions, and Future Research Directions
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ACM computing Surveys 1000年
作者: Md Palash Uddin Yong Xiang Mahmudul Hasan Jun Bai Yao Zhao Longxiang Gao School of Information Technology Deakin University Burwood Australia Deakin University Burwood Australia Key Laboratory of Computing Power Network and Information Security Ministry of Education Shandong Computer Science Center Shandong Academy of Sciences Qilu University of Technology Jinan China Shandong Provincial Key Laboratory of Computing Power Internet and Service Computing Shandong Fundamental Research Center for Computer Science Jinan China
Federated Learning (FL) has emerged as a promising paradigm for training machine learning models across distributed devices while preserving their data privacy. However, the robustness of FL models against adversarial... 详细信息
来源: 评论