NF-ToN-IoT-v3

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 nine 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 (IPAT) statistics, including minimum, maximum, average, and standard deviation values for both source-to-destination and destination-to-source packet transmissions.

本数据集为基于网络流（NetFlow）的数据集的增强版本，整合了53项提取特征，可对网络流展开细致的分析与洞察。本数据集包含二元与多分类标签，可区分正常网络流量与九种不同类型的网络攻击。其采用CSV格式存储，每一行对应一条单独的网络流并标注相应标签。本数据集的核心特性之一在于纳入了时序特征，可针对流量随时间的变化开展更细致的分析。数据集为每条网络流记录了精确的时间戳，包含起始时间与结束时间，有助于更系统地理解网络流的持续时长与活动模式。此外，数据集还采集了数据包间到达时间（Inter-Packet Arrival Time，简称IPAT）的统计数据，涵盖源到目的地与目的地到源的数据包传输的最小值、最大值、平均值及标准差。