Publicly Verifiable and Secure SVM Classification for Cloud-Based Health Monitoring Services

Author:

Lei Dian1ORCID,Liang Jinwen2ORCID,Zhang Chuan1ORCID,Liu Ximeng3ORCID,He Daojing4ORCID,Zhu Liehuang1ORCID,Guo Song2ORCID

Affiliation:

1. School of Cyberspace Science and Technology, Beijing Institute of Technology, Beijing, China

2. Department of Computing, The Hong Kong Polytechnic University, Hong Kong, China

3. School of Information Systems, Singapore Management University, Singapore, Singapore

4. School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, China

Funder

General Research Fund

Guangdong Provincial Key Laboratory of Novel Security Intelligence Technologies

Hong Kong RGC Research Impact Fund

The Key-Area Research and Development Program of Guangdong Province

Postdoctoral Research Foundation of China

The Areas of Excellence Scheme

National Natural Science Foundation of China

Beijing Institute of Technology Research Fund Program for Young Scholars

Shandong Provincial Key Research and Development Program

Shenzhen Science, Technology Innovation Commission

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Machine and deep learning techniques for the prediction of diabetics: a review;Multimedia Tools and Applications;2024-07-16

2. Reconfigurable IoT Solution for Train Integrity and Monitoring;IEEE Internet of Things Journal;2024-06-15

3. Toward Efficient and Robust Federated Unlearning in IoT Networks;IEEE Internet of Things Journal;2024-06-15

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