IoT Device Type Identification Using Hybrid Deep Learning Approach for Increased IoT Security-Reference-Cited by-同舟云学术

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IoT Device Type Identification Using Hybrid Deep Learning Approach for Increased IoT Security

Published:2020-06 Issue: Volume: Page:
ISSN:
Container-title:2020 International Wireless Communications and Mobile Computing (IWCMC)
language:
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Author:

Bao Jiaqi,Hamdaoui Bechir,Wong Weng-Keen

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9142627/9148048/09148110.pdf?arnumber=9148110

Cited by 40 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. ScaNeF-IoT: Scalable Network Fingerprinting for IoT Device;Proceedings of the 19th International Conference on Availability, Reliability and Security;2024-07-30

2. Survey and Experimentation to Compare IoT Device Model Identification Methods;2024 IEEE 25th International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM);2024-06-04

3. HSGAN-IoT: A hierarchical semi-supervised generative adversarial networks for IoT device classification;Computer Networks;2024-04

4. A machine learning based framework for IoT devices identification using web traffic;PEERJ COMPUT SCI;2024

5. A Holistic Review of Machine Learning Adversarial Attacks in IoT Networks;Future Internet;2024-01-19

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