The UNSW-NB15 Dataset 研究单位:新南威尔士大学澳大利亚国防军学院 制作目的:网络入侵检测系统 (NIDS) 监控网络流量以识别攻击 制作方法:UNSW-NB 15 数据集是实验室使用 IXIA PerfectStorm 工具创建现代正常和异常网络流量的混合体。通过 IXIA 工具的异常流量模拟了表 VIII 中列出的 9 个攻击系列。IXIA 工具包含从...
首先,确保已经安装了PyTorch框架。如果没有安装,可以通过以下命令进行安装: bash pip install torch torchvision 在Python脚本中导入必要的库: python import torch import torch.nn as nn import torch.optim as optim import torchvision.transforms as transforms from torch.utils.data import DataLoader, Dataset imp...
Moustafa, N., Slay, J.: UNSW-NB15: a comprehensive dataset for network Intrusion detection systems (UNSW-NB15 network dataset). In: Proceedings of the 2015 Military Communications and Information Systems Conference (MilCIS), Canberra, Australia, pp. 1–6 (2015) Google Scholar UNB. NSL-KDD...
UNSW-NB15总体介绍 数据集的官网:The UNSW-NB15 Dataset Description 数据集下载链接:UNSW-NB15 Download 数据集中一共有9种攻击: This dataset has nine types of attacks, namely,Fuzzers, Analysis, Backdoors, DoS, Exploits, Generic, Reconnaissance, Shellcode and Worms. ...
The raw network packets of the UNSW-NB 15 dataset was created by the IXIA PerfectStorm tool in the Cyber Range Lab of the Australian Centre for Cyber Security (ACCS) for generating a hybrid of real modern normal activities and synthetic contemporary attack behaviours. Tcpdump tool is utilised ...
Additionally, freely available datasets this paper uses, UNSW NB15 dataset, popular IDS technologies, and the advantages and disadvantages of certain IDS are extensively covered. Deep learning (DL), a subset of machine learning (ML), excels in intrusion detection and is based on very accurate, ...
UNSW-NB15总体介绍 数据集的官⽹:数据集下载链接:数据集中⼀共有9种攻击: This dataset has nine types of attacks, namely, Fuzzers, Analysis, Backdoors, DoS, Exploits, Generic, Reconnaissance, Shellcode and Worms.数据集⼀共有49个特征, 我们会在后⾯对每⼀种特征进⾏介绍.在csv中保存的数据...
Machine learning algorithms intend to detect anomalies using supervised and unsupervised approaches.Both the detection techniques have been implemented using IDS datasets like DARPA98, KDDCUP99, NSL-KDD, ISCX, ISOT.UNSW-NB15 is the latest dataset. This data set contains nine different modern attack...
UNSW_NB15_DL_Models auto_awesome_motion View Active Events Mikhail Skvortsov·4y ago· 641 views arrow_drop_up0
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