a part of training and testing set: UNSW_NB15_training-set.csv:175341条 UNSW_NB15_testing-set.csv:82332条 数据特征介绍: 简写对应关系的表格: 简写全称描述 N nominal 名义类型 I integer 整数类型 F float 浮点类型 T timestamp 时间戳类型 B binary 二进制类型 数据特征 #名称类型描述 1 srcip ...
UNSW-NB15_testing-set.csv:用于测试模型的性能。 这两个文件已经包含了所有的特征和标签,不需要自己额外处理其他文件。如果想更深入理解特征,可以参考NUSW-NB15_features.csv,但在模型训练中,直接使用训练集和测试集文件即可。 UNSW-NB15_training-set.csv里各个字段的含义 id:每条记录的唯一标识符。 dur:连接的...
该数据集已经进行了训练集和测试集的分割, 文件分别如下:UNSW_NB15_training-set.csvandUNSW_NB15_testing-set.csv. 在训练集中共有175341条记录, 在测试集中共有82332条记录. The number of records in the training set is 175,341 records and the testing set is 82,332 records from the different types...
在测试集中共有82332条记录. The number of records in the training set is 175,341 records and the testing set is 82,332 records from the different types, attack and normal.Figure 1 and 2 show the testbed configuration dataset and the method of the feature creation of the UNSW-NB15, respect...
UNSW-NB15 is a network intrusion dataset. It contains nine different attacks, includes DoS, worms, Backdoors, and Fuzzers. The dataset contains raw network packets. The number of records in the training set is 175,341 records and the testing set is 82,33
read_csv("../data/UNSWNB15/UNSW_NB15_training-set.csv") # 82332 df_train = pd.read_csv("../data/UNSWNB15/UNSW_NB15_testing-set.csv") # 获得各种攻击类型 attack_cat_train=df_train["attack_cat"] attack_cat_test=df_test["attack_cat"] attack_cat_examples=["Normal","Generic","...
hhhhpaa2021-09-0945517CC-BY-SA-NC 4.0 描述 入侵检测数据集 数据列表 数据名称上传日期大小下载 UNSW_NB15_testing-set.csv2021-09-0914.67MB UNSW_NB15_training-set.csv2021-09-0930.80MB 文档 目录
UNSW_NB15入侵检测数据集,相比于KDD99和NSL KDD数据集更适合相关研究人员用于入侵检测系统的研究点赞(0) 踩踩(0) 反馈 所需:1 积分 电信网络下载 新生命团队基础框架X组件,包括网络、数据库、安全、多线程、反射、序列化、模版引擎、服务代理、远程过程调用等模块 ...
intrusion-detectionintrusionkdd99unsw-nb15 UpdatedJan 24, 2018 这是一个封装了KDDCup99、NSL-KDD、UNSW-NB15等入侵监测数据集的Python包。 datasetidsnidsnsl-kddunsw-nb15kddcup99 UpdatedAug 10, 2020 Python Basic Machine learning projects and assignments done by me. ...
The evaluation of Network Anomaly Detection Systems: Statistical analysis of the UNSW-NB15 data set and the comparison with the KDD99 data set Over the last three decades, Network Intrusion Detection Systems (NIDSs), particularly, Anomaly Detection Systems (ADSs), have become more significant in ...