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+ ---
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+ task_categories:
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+ - tabular-classification
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+ tags:
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+ - tabular
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+ - network
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+ size_categories:
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+ - 1M<n<10M
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+ ---
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+
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+ ## Source
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+ https://www.kaggle.com/datasets/dhoogla/unswnb15?resource=download
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+
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+ ## Dataset
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+ This is an academic intrusion detection dataset. All the credit goes to the original authors: dr. Nour Moustafa and dr. Jill Slay.
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+
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+ Please cite their original paper and all other appropriate articles listed on the UNSW-NB15 page.
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+ The full dataset also offers the pcap, BRO and Argus files along with additional documentation.
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+ The modifications to the predesignated train-test sets are minimal and designed to decrease disk storage and increase performance & reliability.
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+ Exploratory Data Analysis (EDA) through classification with very simple models to .877 AUROC.