UNK21
收藏arXiv2021-12-02 更新2024-08-06 收录
下载链接：
http://arxiv.org/abs/2112.02080v1
下载链接
链接失效反馈官方服务：
资源简介：
UNK21数据集是由格拉纳达大学等机构创建，通过整合UGR’16、USNW-NB15和NLS-KDD三个网络数据集而成。该数据集包含20000条记录，每条记录都来自不同的网络环境，具有多样化的特征和类别。创建过程中采用了数据聚合方法，确保数据集的多样性和实用性。UNK21数据集主要用于训练和测试基于机器学习的网络入侵检测系统，旨在提高模型在不同网络环境下的泛化能力和检测准确性。
The UNK21 dataset was developed by institutions including the University of Granada, which integrates three network datasets: UGR’16, USNW-NB15 and NLS-KDD. This dataset contains 20,000 records, with each record coming from distinct network environments and featuring diverse characteristics and categories. Data aggregation methods were adopted during its creation to ensure the diversity and practicality of the dataset. The UNK21 dataset is mainly used for training and testing machine learning-based network intrusion detection systems, aiming to improve the generalization capability and detection accuracy of models across different network environments.
提供机构：
网络工程与安全组（NESG），信号理论、电信与通信系，计算机工程与电信学院，格拉纳达大学（西班牙）
创建时间：
2021-12-02
