Network Traffic Flow Based Machine Learning Technique for IoT Device Identification-Reference-Cited by-同舟云学术

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Network Traffic Flow Based Machine Learning Technique for IoT Device Identification

Published:2021-04-15 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE International Systems Conference (SysCon)
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Author:

Ullah Imtiaz,Mahmoud Qusay H.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9447020/9447051/09447099.pdf?arnumber=9447099

Cited by 21 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. A novel graph convolutional networks model for an intelligent network traffic analysis and classification;International Journal of Information Technology;2024-08-14

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

4. Enhancing IoT Security Through Multilayer Unsupervised Learning and Hybrid Models;2024 International Conference on Trends in Quantum Computing and Emerging Business Technologies;2024-03-22

5. FlexHash - Hybrid Locality Sensitive Hashing for IoT Device Identification;2024 IEEE 21st Consumer Communications & Networking Conference (CCNC);2024-01-06

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