Toward IoT device fingerprinting from proprietary protocol traffic via key-blocks aware approach-Reference-Cited by-同舟云学术

Toward IoT device fingerprinting from proprietary protocol traffic via key-blocks aware approach

Published:2023-08 Issue: Volume:131 Page:103145
ISSN:0167-4048
Container-title:Computers & Security
language:en
Short-container-title:Computers & Security

Author:

Sang Yafei,Yang Jisong,Zhang Yongzheng,Li Shuhao,Chang Peng

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Publisher

Elsevier BV

Subject

Law,General Computer Science

Reference39 articles.

1. Automated IoT device identification using network traffic;Aksoy,2019

2. Alsallakh, B., Kokhlikyan, N., Miglani, V., Yuan, J., Reblitz-Richardson, O., 2020. Mind the PAD–CNNs can develop blind spots. arXiv preprint arXiv:2010.02178

3. IoT device fingerprint using deep learning;Aneja,2018

4. Apthorpe, N., Reisman, D., Feamster, N., 2017. A smart home is no castle: privacy vulnerabilities of encrypted IoT traffic. arXiv preprint arXiv:1705.06805

5. Network protocol analysis using bioinformatics algorithms;Beddoe;Toorcon,2004

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