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[Dataset] Malicious DNS Tunnel Tool Recognition using Persistent DoH Traffic Analysis
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Title: | [Dataset] Malicious DNS Tunnel Tool Recognition using Persistent DoH Traffic Analysis |
Authors: | Mitsuhashi, Rikima Browse this author | Jin, Yong Browse this author →KAKEN DB | Iida, Katsuyoshi Browse this author →KAKEN DB | Shinagawa, Takahiro Browse this author →KAKEN DB | Takai, Yoshiaki Browse this author →KAKEN DB |
Issue Date: | 15-Feb-2023 |
Description: | DoH-Tunnel-Traffic-HKD.zip:
If you use the dataset, please be sure to cite the following paper.
Rikima Mitsuhashi, Yong Jin, Katsuyoshi Iida, Takahiro Shinagawa, and Yoshiaki Takai,"Malicious DNS Tunnel Tool Recognition using Persistent DoH Traffic Analysis," in IEEE Transactions on Network and Service Management, 2022. https://ieeexplore.ieee.org/document/9924534 | CIRA-CIC-DoHBrw-2020-and-DoH-Tunnel-Traffic-HKD.zip:
If you use the dataset, please be sure to cite the following papers because the dataset has data from the CIRA-CIC-DoHBrw-2020 [1] and DoH-Tunnel-Traffic-HKD [2] datasets.
Mohammadreza MontazeriShatoori, Logan Davidson, Gurdip Kaur, and Arash Habibi Lashkari, "Detection of DoH Tunnels using Time-series Classification of Encrypted Traffic," The 5th IEEE Cyber Science and Technology Congress, Calgary, Canada, August 2020. https://ieeexplore.ieee.org/document/9251211
Rikima Mitsuhashi, Yong Jin, Katsuyoshi Iida, Takahiro Shinagawa, and Yoshiaki Takai, "Malicious DNS Tunnel Tool Recognition using Persistent DoH Traffic Analysis," in IEEE Transactions on Network and Service Management, 2022. https://ieeexplore.ieee.org/document/9924534 | References:
[1] CIRA-CIC-DoHBrw-2020 (https://www.unb.ca/cic/datasets/dohbrw-2020.html)
[2] DoH-Tunnel-Traffic-HKD (https://github.com/doh-traffic-dataset/DoH-Tunnel-Traffic-HKD/) |
(Relation)isRequiredBy: | Rikima Mitsuhashi, Yong Jin, Katsuyoshi Iida, Takahiro Shinagawa, and Yoshiaki Takai, "Malicious DNS Tunnel Tool Recognition using Persistent DoH Traffic Analysis", in IEEE Transactions on Network and Service Management, 2022. | https://doi.org/10.1109/TNSM.2022.3215681 |
Type: | dataset |
URI: | http://hdl.handle.net/2115/88092 |
Appears in Collections: | 情報基盤センター (Information Initiative Center) > データセット(Dataset)
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Submitter: 飯田 勝吉
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