Identifying Malicious DNS Tunnel Tools from DoH Traffic Using Hierarchical Machine Learning Classification

Author:

Mitsuhashi Rikima,Satoh Akihiro,Jin Yong,Iida Katsuyoshi,Shinagawa Takahiro,Takai Yoshiaki

Publisher

Springer International Publishing

Reference38 articles.

1. Amazon Alexa Voice AI. https://developer.amazon.com/en-US/alexa/. Accessed 17 July 2021

2. CatBoost Documentation - Parameters. https://catboost.ai/docs/concepts/python-reference_parameters-list.html. Accessed 16 June 2021

3. CIRA-CIC-DoHBrw-2020. https://www.unb.ca/cic/datasets/dohbrw-2020.html. Accessed 15 June 2021

4. cloudflared. https://developers.cloudflare.com/cloudflare-one/connections/connect-apps. Accessed 10 July 2021

5. DNS Queries over HTTPS (DoH) - Request For Comments 8484. https://tools.ietf.org/html/rfc8484. Accessed 15 June 2021

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2. A Hybrid Model for Detecting Intrusions on Network Logs;European Journal of Artificial Intelligence and Machine Learning;2024-06-10

3. Intelligent model for the detection and classification of encrypted network traffic in cloud infrastructure;PeerJ Computer Science;2024-05-27

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