rnaveensrinivas/NF-ToN-IoT-Metadata_details dataset hosted on Hugging Face and contributed by the HF Datasets community

The CICFlowMeter format of the datasets is made up of 83 network features. The details of the datasets are published in: Mohanad Sarhan, Siamak Layeghy, and Marius Portmann, Evaluating Standard Feature Sets Towards Increased Generalisability and Explainability of ML-based Network Intrusion Detection, Big Data Research, 30, 100359, 2022 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.

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.

This dataset is an enhanced version of NetFlow-based datasets, incorporating 53 extracted features that provide detailed insights into network flows. The dataset includes binary and multi-class labels, distinguishing between normal traffic and nine different types of attacks. It is structured in CSV format, with each row representing a single network flow, labeled accordingly. One of the key aspects of this dataset is the inclusion of temporal features, which allow for a more detailed analysis of traffic over time. The dataset records precise timestamps for each flow, including start and end times, enabling a more structured understanding of flow duration and activity patterns. Additionally, it captures inter-packet arrival time (IPAT) statistics, including minimum, maximum, average, and standard deviation values for both source-to-destination and destination-to-source packet transmissions.Note, there are minor changes to the dataset description in this data record, which is slightly different from the information in the download files description. The information presented in this data record is the most up-to-date.

NetFlow Version 2 of the datasets is made up of 43 extended NetFlow features. The details of the datasets are published in: Mohanad Sarhan, Siamak Layeghy, and Marius Portmann, Towards a Standard Feature Set for Network Intrusion Detection System Datasets, Mobile Networks and Applications, 103, 108379, 2022 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.