CIC-ToN-IoT

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.

本数据集采用CICFlowMeter格式，由83项网络特征构成。本数据集的详细信息已发表于以下学术文献：Mohanad Sarhan、Siamak Layeghy及Marius Portmann，《面向提升基于机器学习的网络入侵检测模型泛化性与可解释性的标准特征集评估》，《大数据研究》(Big Data Research)，第30卷，100359，2022年。若用于学术研究用途，只要引用上述文献，即可永久使用本数据集。若用于商业用途，则需获得作者的许可。如需了解更多细节，请联系作者Mohanad Sarhan。