A green computing method for encrypted IoT traffic recognition based on traffic fingerprint graphs-Reference-Cited by-同舟云学术

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A green computing method for encrypted IoT traffic recognition based on traffic fingerprint graphs

Published:2024-03-04 Issue:3 Volume:17 Page:1514-1526
ISSN:1936-6442
Container-title:Peer-to-Peer Networking and Applications
language:en
Short-container-title:Peer-to-Peer Netw. Appl.

Author:

Li Yao,Chen Xingshu,Tang Wenyi,Chen Bingyu

Funder

the National Natural Science Foundation of China

the Engineering Connotation Development Project of Sichuan University

the Young Scientists Fund of the National Natural Science Foundation of China under Grant

the Fundamental Research Funds for the Central Universities

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s12083-024-01665-3.pdf

Reference32 articles.

1. Qiu J, Tian Z, Du C, Zuo Q, Su S, Fang B (2020) A survey on access control in the age of internet of things. IEEE Internet Things J 7(6):4682–4696. https://doi.org/10.1109/JIOT.2020.2969326

2. Nascita A, Cerasuolo F, Monda DD, Garcia JTA, Montieri A, Pescapè A (2022) Machine and deep learning approaches for iot attack classification. In: IEEE INFOCOM 2022 - IEEE conference on computer communications workshops (INFOCOM WKSHPS), pp 1–6. https://doi.org/10.1109/INFOCOMWKSHPS54753.2022.9797971

3. Tahaei H, Afifi F, Asemi A, Zaki F, Anuar NB (2020) The rise of traffic classification in iot networks: a survey. J Netw Comput Appl 154:102538. https://doi.org/10.1016/j.jnca.2020.102538

4. Xie J, Yu FR, Huang T, Xie R, Liu J, Wang C, Liu Y (2018) A survey of machine learning techniques applied to software defined networking (sdn): research issues and challenges. IEEE Commun Surv Tutor 21(1):393–430

5. Shafiq M, Tian Z, Bashir AK, Du X, Guizani M (2021) Corrauc: a malicious bot-iot traffic detection method in iot network using machine-learning techniques. IEEE Internet Things J 8(5):3242–3254. https://doi.org/10.1109/JIOT.2020.3002255

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