Deep Fingerprinting Data Learning Based on Federated Differential Privacy for Resource-Constrained Intelligent IoT Systems-Reference-Cited by-同舟云学术

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Deep Fingerprinting Data Learning Based on Federated Differential Privacy for Resource-Constrained Intelligent IoT Systems

Published:2024-08-01 Issue:15 Volume:11 Page:25744-25756
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Zhang Tiantian¹^ORCID,Xu Dongyang¹^ORCID,Hu Yingying¹^ORCID,Vijayakumar Pandi²^ORCID,Zhu Yongxin³^ORCID,Tolba Amr⁴^ORCID

Affiliation:

1. School of Information and Communication Engineering, Xi’an Jiaotong University, Xi’an, China

2. Department of Computer Science and Engineering, University College of Engineering Tindivanam, Villupuram, Tamil Nadu, India

3. Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai, China

4. Computer Science Department, Community College, King Saud University, Riyadh, Saudi Arabia

Funder

National Key Research and Development Program of China

Open Research Fund of National Mobile Communications Research Laboratory, Southeast University

Researchers Supporting Project, King Saud University, Riyadh, Saudi Arabia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6488907/10607832/10505877.pdf?arnumber=10505877

Reference43 articles.

1. A Comprehensive Survey on Internet of Things (IoT) Toward 5G Wireless Systems

2. 6G Internet of Things: A Comprehensive Survey

3. Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications

4. Seamless Authentication: For IoT-Big Data Technologies in Smart Industrial Application Systems

5. AI for UAV-Assisted IoT Applications: A Comprehensive Review

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