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Thi-Thu-Huong/Comprehensive_Feature_Extraction_DDoS_Datasets

153 downloads in 30 days1 likesLast modified 29 Oct 2025View on Hugging Face
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The declared licence (mit) is classified as permissive.

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mit, from the tagEvidence: README.md at 7c43481
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Citation text from the card

Le, T.T.H., Heo, S., Cho, J., & Kim, H. (2025). DDoSBERT: Fine-tuning variant text classification bidirectional encoder representations from transformers for DDoS detection. Computer Networks, 111150.

**BibTeX:**

@article{LE2025111150,
title = {DDoSBERT: Fine-tuning variant text classification bidirectional encoder representations from transformers for DDoS detection},
journal = {Computer Networks},
volume = {262},
pages = {111150},
year = {2025},
issn = {1389-1286},
doi = {https://doi.org/10.1016/j.comnet.2025.111150},
url = {https://www.sciencedirect.com/science/article/pii/S1389128625001185},
author = {Thi-Thu-Huong Le and Shinwook Heo and Jaehan Cho and Howon Kim},
keywords = {DDoS(distributed denial of service), IDS(intrusion detection system), Text classification, Fine-tuning, BERT(bidirectional encoder representations from transformers)}
}

@misc {le_2025,
	author       = { {Le} },
	title        = { Comprehensive_Feature_Extraction_DDoS_Datasets (Revision 1dafba0) },
	year         = 2025,
	url          = { https://huggingface.co/datasets/Thi-Thu-Huong/Comprehensive_Feature_Extraction_DDoS_Datasets },
	doi          = { 10.57967/hf/4812 },
	publisher    = { Hugging Face }
}

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dataset_licence({ "id": "Thi-Thu-Huong/Comprehensive_Feature_Extraction_DDoS_Datasets" })
signal: "permissive"
stated_licence: "mit"
sources: 0