Dataset from NSL-KDD for model validation

There are five types of data in the dataset, namely NORMAL, DoS, Probe, R2L and U2R. A total of 20,000 training samples were used during the experiment (5 classifications in total, 4000 samples for each classification). There are 4047 samples in the validation dataset, including 1000 samples each of NORMAL, DoS, and Probe types. 995 samples of R2L and 52 samples of U2R.

该数据集共包含5类数据，分别为正常样本（NORMAL）、拒绝服务攻击（DoS）、探测扫描（Probe）、远程到本地攻击（R2L）以及用户到权限提升攻击（U2R）。实验中共使用20000条训练样本，涵盖全部5个分类，每个分类各4000条样本。验证数据集共包含4047条样本，其中正常样本、拒绝服务攻击样本、探测扫描样本各1000条，远程到本地攻击样本995条，用户到权限提升攻击样本52条。