A Generic Machine Learning Approach for IoT Device Identification

Author:

Ali Zain1,Hussain Faisal1,Ghazanfar Syed1,Husnain Muhammad1,Zahid Shahzaib1,Shah Ghalib A.1

Affiliation:

1. Al-Khawarizmi Institute of Computer Science (KICS), UET,Lahore,Pakistan

Publisher

IEEE

Cited by 7 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. Identifying IoT Devices: A Machine Learning Analysis Using Traffic Flow Metadata;NOMS 2024-2024 IEEE Network Operations and Management Symposium;2024-05-06

2. Exploring Machine Learning Algorithms for Robust Cyber Threat Detection and Classification: A Comprehensive Evaluation;2024 International Conference on Intelligent Systems for Cybersecurity (ISCS);2024-05-03

3. Network Device Identification Scheme Based on Network Traffic Analysis;Smart Innovation, Systems and Technologies;2023-11-03

4. Assessing the Effectiveness of Siamese Neural Networks to Mitigate Frequent Retraining in IoT Device Identification Models;2023 International Conference on Platform Technology and Service (PlatCon);2023-08-16

5. IoT Device Identification Using a Meta-Ensemble Multi-Class Classifier;2023 14th International Conference on Information, Intelligence, Systems & Applications (IISA);2023-07-10

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