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NF-BoT-IoT-v3

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Research Data Australia2025-12-20 收录
下载链接:
https://researchdata.edu.au/nf-bot-iot-v3/3485178
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资源简介:
This dataset is an enhanced version of NetFlow-based datasets, incorporating 53 extracted features that provide detailed insights into network flows. The dataset includes binary and multi-class labels, distinguishing between normal traffic and four different types of attacks. It is structured in CSV format, with each row representing a single network flow, labeled accordingly. One of the key aspects of this dataset is the inclusion of temporal features, which allow for a more detailed analysis of traffic over time. The dataset records precise timestamps for each flow, including start and end times, enabling a more structured understanding of flow duration and activity patterns. Additionally, it captures inter-packet arrival time (IAT) statistics, including minimum, maximum, average, and standard deviation values for both source-to-destination and destination-to-source packet transmissions.Note, there are minor changes to the dataset description in this data record, which is slightly different from the information in the download files description. The information presented in this data record is the most up-to-date.

本数据集为基于NetFlow的网络流量数据集的增强版本,整合了53项经提取的特征,可对网络流量流提供详尽的分析视角。数据集包含二分类与多分类标签,能够区分正常流量与四类不同的攻击流量。该数据集采用逗号分隔值(CSV)格式存储,每一行对应一条已标注的独立网络流量流。本数据集的核心特性之一在于纳入了时序特征,可实现对流量随时间变化的精细化分析。数据集为每条流量流记录了精确的时间戳,包含起始与结束时间,有助于更系统地理解流量持续时长与活动模式。此外,数据集还捕获了数据包间到达时间(Inter-packet Arrival Time,简称IAT)的统计信息,涵盖源到目标、目标到源两种数据包传输方向下的最小值、最大值、平均值与标准差。请注意:本数据记录中的数据集描述存在细微调整,与下载文件说明中的信息略有差异,本数据记录中呈现的内容为最新版本。
提供机构:
The University of Queensland
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