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bert-unformatted-network-data-test-ids-2018

Text Classification
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roberta
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text-embeddings-inference
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@@ -38,7 +38,12 @@ It achieves the following results on the evaluation set:
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  'Benign': label_0, 'SSH-Bruteforce': label_1, 'DoS attacks-Slowloris': label_2, 'DoS attacks-GoldenEye': label_3
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- 1. malicious
 
 
 
 
 
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  examples from CSE-CIC-IDS2018 on AWS (formatted for model training)
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  https://colab.research.google.com/drive/1PmLep9D3NfMhYsX0soTBhfVXFkawGgGx?authuser=0#scrollTo=ReaH6NCljdsn
 
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  'Benign': label_0, 'SSH-Bruteforce': label_1, 'DoS attacks-Slowloris': label_2, 'DoS attacks-GoldenEye': label_3
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+ 1. SSH-Bruteforce (patator) record from original dataset
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+ 2. SSH-Bruteforce (patator) record from replicated attack dataset
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+ 3. Slowloris DoS record from original dataset
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+ 4. Slowloris DoS record from replicated attack dataset
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+ 5. GoldenEye DoS record from original dataset
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+ 6. GoldenEye DoS record from replicated attack dataset
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  examples from CSE-CIC-IDS2018 on AWS (formatted for model training)
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  https://colab.research.google.com/drive/1PmLep9D3NfMhYsX0soTBhfVXFkawGgGx?authuser=0#scrollTo=ReaH6NCljdsn