UNSW-NB15 and CIC-IDS2017 Labelled PCAP Data

Packet Capture (PCAP) files of UNSW-NB15 and CIC-IDS2017 dataset are processed and labelled utilizing the CSV files. Each packet is labelled by comparing the eight distinct features: *Source IP, Destination IP, Source Port, Destination Port, Starting time, Ending time, Protocol and Time to live*. The dimensions for the dataset is Nx1504. All column of the dataset are integers, therefore you can directly utilize this dataset in you machine learning models. Moreover, details of the whole processing and transformation is provided in the following GitHub Repo: https://github.com/Yasir-ali-farrukh/Payload-Byte You can utilize the tool available at the above mentioned GitHub repo to generate labelled dataset from scratch. All of the detail of processing and transformation is provided in the following paper: ```yaml @article{Payload, author = "Yasir Ali Farrukh and Irfan Khan and Syed Wali and David Bierbrauer and Nathaniel Bastian", title = "{Payload-Byte: A Tool for Extracting and Labeling Packet Capture Files of Modern Network Intrusion Detection Datasets}", year = "2022", month = "9", url = "https://www.techrxiv.org/articles/preprint/Payload-Byte_A_Tool_for_Extracting_and_Labeling_Packet_Capture_Files_of_Modern_Network_Intrusion_Detection_Datasets/20714221", doi = "10.36227/techrxiv.20714221.v1" }

本研究针对UNSW-NB15与CIC-IDS2017数据集的数据包捕获（Packet Capture, PCAP）文件进行处理与标注，处理流程依托配套CSV文件开展。每条数据包通过比对以下8项特征完成标注：*源IP地址、目的IP地址、源端口、目的端口、起始时间、结束时间、协议与生存时间（Time to live）*。该数据集的维度为N×1504，所有列均为整数类型，可直接将该数据集应用于机器学习模型中。此外，完整的处理与转换流程细节已在如下GitHub仓库中公开：https://github.com/Yasir-ali-farrukh/Payload-Byte，用户可借助该仓库提供的工具从零生成标注数据集。相关处理与转换的全部细节已发表于以下论文：
yaml
@article{Payload,
author = "Yasir Ali Farrukh and Irfan Khan and Syed Wali and David Bierbrauer and Nathaniel Bastian",
title = "{Payload-Byte: 面向现代网络入侵检测数据集的数据包捕获文件提取与标注工具}",
year = "2022",
month = "9",
url = "https://www.techrxiv.org/articles/preprint/Payload-Byte_A_Tool_for_Extracting_and_Labeling_Packet_Capture_Files_of_Modern_Network_Intrusion_Detection_Datasets/20714221",
doi = "10.36227/techrxiv.20714221.v1"
}

搜集汇总

背景与挑战

背景概述

该数据集是对UNSW-NB15和CIC-IDS2017网络数据包的捕获（PCAP）文件进行处理和标记后的版本，通过比较八个关键网络特征（如IP地址、端口和时间）为每个数据包添加标签。数据集维度为Nx1504，所有列均为整数类型，可直接用于机器学习模型，适用于网络入侵检测等网络安全研究。相关GitHub仓库和论文提供了数据处理和转换的完整工具及方法说明。