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UNSW

rdpahalavan /UNSW-NB15We have developed a Python package as a wrapper around Hugging Face Hub and Hugging Face Datasets library to access this dataset easily. NIDS Datasets The nids-datasets package provides functionality to download and utilize specially curated and extracted datasets from the original UNSW-NB15 and CIC-IDS2017 datasets. These datasets, which initially were only flow datasets, have been enhanced to include packet-level information from the raw PCAP files. The dataset contains both… See the full description on the dataset page: https://huggingface.co/datasets/rdpahalavan/UNSW-NB15.tabulartext-classification100M<n<1B6 likes1.4k downloads3y agoHugging FaceMouwiya /UNSW-NB15 The UNSW-NB15 The raw network packets (Pcap files) of the UNSW-NB 15 data set is created by the IXIA PerfectStorm tool in the Cyber Range Lab of the Australian Centre for Cyber Security (ACCS) for generating a hybrid of real modern normal activities and synthetic contemporary attack activities. The UNSW-NB15 source files are provided in different formats, Pcap files, BRO files, Argus Files and CSV files. The source files of the data set were divided based in the date of the… See the full description on the dataset page: https://huggingface.co/datasets/Mouwiya/UNSW-NB15.tabulartext-classification1M<n<10M2 likes612 downloads2y agoHugging Facelacg030175 /UNSW-NB15 UNSW-NB15 Network Intrusion Detection Dataset The UNSW-NB15 dataset for network intrusion detection, provided with two evaluation protocols to enable fair comparison across the literature. Why This Dataset Exists Published results on UNSW-NB15 range from 85% to 99% accuracy — but the gap is almost entirely due to evaluation protocol differences, not model quality: Evaluation Protocol Typical Accuracy Example Papers Standard split (temporal, 175K/82K) 85–93%… See the full description on the dataset page: https://huggingface.co/datasets/lacg030175/UNSW-NB15.tabulartabular-classification1M<n<10M0 likes383 downloads6mo agoHugging FaceMireu-Lab /UNSW-NB15 UNSW-NB15 This data is provided through the Train, Test CSV file provided by UNSW-NB15. link Labels The label of the data set is as follows. # Column Non-Null Count Dtype 0 id 82332 non-null int64 1 dur 82332 non-null float64 2 proto 82332 non-null object 3 service 82332 non-null object 4 state 82332 non-null object 5 spkts 82332 non-null int64 6 dpkts 82332 non-null int64 7 sbytes 82332 non-null int64 8 dbytes 82332 non-null int64 9 rate… See the full description on the dataset page: https://huggingface.co/datasets/Mireu-Lab/UNSW-NB15.tabular100K<n<1M1 likes283 downloads2y agoHugging FaceMouwiya /UNSW-NB15-smalltabular100K<n<1M0 likes216 downloads2y agoHugging Facewwydmanski /UNSW-NB15 Source https://www.kaggle.com/datasets/dhoogla/unswnb15?resource=download Dataset This is an academic intrusion detection dataset. All the credit goes to the original authors: dr. Nour Moustafa and dr. Jill Slay. Please cite their original paper and all other appropriate articles listed on the UNSW-NB15 page. The full dataset also offers the pcap, BRO and Argus files along with additional documentation. The modifications to the predesignated train-test sets are minimal… See the full description on the dataset page: https://huggingface.co/datasets/wwydmanski/UNSW-NB15.tabulartabular-classification1M<n<10M2 likes150 downloads4y agoHugging Face