Data

NF-UNSW-NB15

The University of Queensland
Associate Professor Marius Portmann (Aggregated by) Associate Professor Marius Portmann (Aggregated by) Dr Siamak Layeghy (Aggregated by) Dr Siamak Layeghy (Aggregated by) Mr Mohanad Sarhan (Aggregated by)
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.48610/5d0832d&rft.title=NF-UNSW-NB15&rft.identifier=RDM ID: c31a9f50-ef99-11ed-ab7b-c7846b13c8a9&rft.publisher=The University of Queensland&rft.description=NetFlow Version 1 of the datasets is made up of 8 basic NetFlow features. The details of the datasets are published in; Sarhan M., Layeghy S., Moustafa N., Portmann M. (2021) NetFlow Datasets for Machine Learning-Based Network Intrusion Detection Systems. In: Big Data Technologies and Applications. BDTA 2020, WiCON 2020. Springer, Cham. The use of the datasets for academic research purposes is granted in perpetuity after citing the above papers. For commercial purposes, it should be agreed upon by the authors. Please get in touch with the author Mohanad Sarhan for more details.&rft.creator=Associate Professor Marius Portmann&rft.creator=Associate Professor Marius Portmann&rft.creator=Dr Siamak Layeghy&rft.creator=Dr Siamak Layeghy&rft.creator=Mr Mohanad Sarhan&rft.creator=Mr Mohanad Sarhan&rft.date=2023&rft_rights=2023, The University of Queensland&rft_rights= http://guides.library.uq.edu.au/deposit_your_data/terms_and_conditions&rft_subject=eng&rft_subject=Computer System Security&rft_subject=INFORMATION AND COMPUTING SCIENCES&rft_subject=COMPUTER SOFTWARE&rft.type=dataset&rft.language=English Access the data
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s4608505@student.uq.edu.au
School of Information Technology and Electrical Engineering

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NetFlow Version 1 of the datasets is made up of 8 basic NetFlow features. The details of the datasets are published in; Sarhan M., Layeghy S., Moustafa N., Portmann M. (2021) NetFlow Datasets for Machine Learning-Based Network Intrusion Detection Systems. In: Big Data Technologies and Applications. BDTA 2020, WiCON 2020. Springer, Cham. The use of the datasets for academic research purposes is granted in perpetuity after citing the above papers. For commercial purposes, it should be agreed upon by the authors. Please get in touch with the author Mohanad Sarhan for more details.

Issued: 15 05 2023

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Subjects
Computer Software | Computer System Security | Information and Computing Sciences | eng |

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NetFlow datasets for machine learning-based network intrusion detection systems

local : UQ:c36dc14

Sarhan, Mohanad, Layeghy, Siamak, Moustafa, Nour and Portmann, Marius (2021). NetFlow datasets for machine learning-based network intrusion detection systems. 10th EAI International Conference, BDTA 2020 and 13th EAI International Conference on Wireless Internet, WiCON 2020, Virtual Event, 11 December 2020. Cham, Switzerland: Springer Science and Business Media Deutschland GmbH. doi: 10.1007/978-3-030-72802-1_9

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local : UQ:289097

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