Anomaly Detection/Prediction for the Internet of Things: State of the Art and the Future-Reference-Cited by-同舟云学术

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Anomaly Detection/Prediction for the Internet of Things: State of the Art and the Future

Published:2021-01 Issue:1 Volume:35 Page:212-218
ISSN:0890-8044
Container-title:IEEE Network
language:
Short-container-title:IEEE Network

Author:

Lin Xin-Xue,Lin Phone,Yeh En-Hau

Funder

Ministry of Science and Technology of Taiwan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Hardware and Architecture,Information Systems,Software

Link

http://xplorestaging.ieee.org/ielx7/65/9354913/09301388.pdf?arnumber=9301388

Cited by 18 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. Pareto-Optimal Machine Learning Models for Security of IoT Applications;2024 International Conference on Smart Applications, Communications and Networking (SmartNets);2024-05-28

2. Anomaly detection based on Artificial Intelligence of Things: A Systematic Literature Mapping;Internet of Things;2024-04

3. A Vertical Heterogeneous Network (VHetNet)-Enabled Asynchronous Federated Learning-Based Anomaly Detection Framework for Ubiquitous IoT;IEEE Open Journal of the Communications Society;2024

4. Behavioral authentication for security and safety;Security and Safety;2024

5. Cybersecurity in Industry 4.0 and Internet of Things: Challenges and Opportunities;Springer Proceedings in Earth and Environmental Sciences;2024

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