test_file = 'https://raw.githubusercontent.com/arjbah/nsl-kdd/master/nsl-kdd/KDDTest%2B.txt' field_name_file = 'https://raw.githubusercontent.com/defcom17/NSL_KDD/master/Field%20Names.csv' attack_type_file = 'https://raw.githubusercontent.com/arjbah/nsl-kdd/master/training_attack_t...
train_file ='https://raw.githubusercontent.com/arjbah/nsl-kdd/master/nsl-kdd/KDDTrain%2B.txt' test_file ='https://raw.githubusercontent.com/arjbah/nsl-kdd/master/nsl-kdd/KDDTest%2B.txt' field_name_file ='https://raw.githubusercontent.com/defcom17/NSL_KDD/master/Field%20Names.csv'...
NSL-KDD数据集是KDD99数据集的改进,可以作为有效地基准数据集,各机器学习算法可以在NSL-KDD数据集上进行入侵检测实验。 展开更多 引用格式 复制 @misc{NSL_KDD3700, title = { NSL_KDD数据集 } author = { sisis િ😏ી }, howpublished = { \url{https://www.heywhale.com/mw/dataset/5d8325648499...
The NSL KDD Dataset Jul 31, 2015 Field Names.csv The NSL KDD Dataset Jul 31, 2015 Field Names.docx The NSL KDD Dataset Jul 31, 2015 KDDTest+.csv The NSL KDD Dataset Jul 31, 2015 KDDTest+.txt The NSL KDD Dataset Jul 31, 2015 ...
天池实验室 数据集 公共数据集 正文 NSL-KDD Gale2020-11-0825820CC-BY-SA-NC 4.0 新建Notebook 内容 Notebook 评论 描述 NSL-KDD数据集 数据列表 数据名称上传日期大小下载 KDDTrain+.csv2020-11-0818.22MB KDDTest+.csv2020-11-083.28MB 文档 目录...
KDDTest-21.arff KDDTest-21.txt KDDTrain+.arff KDDTrain+.txt KDDTrain+_20Percent.arff KDDTrain+_20Percent.txt README.md README ***Note I couldn't find the NSL-KDD dataset anywhere except via the Wayback Machine. This is just a backup. The data was found viahttps://web.archive.org...
KDDTrain%2B.txt'test_file = 'https://raw.githubusercontent.com/arjbah/nsl-kdd/master/nsl-kdd/KDDTest%2B.txt'field_name_file = 'https://raw.githubusercontent.com/defcom17/NSL_KDD/master/Field%20Names.csv'attack_type_file = 'https://raw.githubusercontent.com/arjbah/nsl-kdd/master/...
训练利用PCA降维后的数据的网络入侵检测模型 model_no_pca.ipynb: 训练未使用PCA降维的数据的网络入侵检测模型 get_KDD_cup_data.ipynb: 处理KDD-CUP数据集 read_kddcup99.py: 将KDD-CUP数据集从特殊文件读如到.csv文件中 evaluate_model_with_kdddataset.ipynb: 使用KDD-CUP数据集对训练好的网络入侵检测数据集...
attack_type_file = 'https://raw.githubusercontent.com/arjbah/nsl-kdd/master/training_attack_types.txt' 这里就是常规的pandas 读csv 或txt 操作,仅仅注意一下列表头/列名称的处理。 field_names_df = pd.read_csv( field_name_file, header=None, names=[ ...
attack_type_file = 'https://raw./arjbah/nsl-kdd/master/training_attack_types.txt' 这里就是常规的pandas 读csv 或txt 操作,仅仅注意一下列表头/列名称的处理。 field_names_df = pd.read_csv( field_name_file, header=None, names=[ 'name', 'data_type']) # 定义dataframe ,并给个column name...