An IoT Device Identification Method based on Semi-supervised Learning-Reference-Cited by-同舟云学术

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An IoT Device Identification Method based on Semi-supervised Learning

Published:2020-11-02 Issue: Volume: Page:
ISSN:
Container-title:2020 16th International Conference on Network and Service Management (CNSM)
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Author:

Fan Linna,Zhang Shize,Wu Yichao,Wang Zhiliang,Duan Chenxin,Li Jia,Yang Jiahai

Funder

Research and Development

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9269033/9269034/09269044.pdf?arnumber=9269044

Cited by 22 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. BitIoT: A Bit Level Deep Packet Inspection Method for Identification of MQTT-Based IoT Devices in the Wild;IEEE Transactions on Network and Service Management;2024-06

2. ZEST: Attention-based Zero-Shot Learning for Unseen IoT Device Classification;NOMS 2024-2024 IEEE Network Operations and Management Symposium;2024-05-06

3. Transferability of Machine Learning Algorithm for IoT Device Profiling and Identification;IEEE Internet of Things Journal;2024-01-15

4. PiGateway: Real-time granular analysis of smart home network traffic using P4;Computer Communications;2024-01

5. Towards Early and Accurate IoT Device-Type Identification with Global Attention Mechanism;GLOBECOM 2023 - 2023 IEEE Global Communications Conference;2023-12-04

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