ToN-IoT-R

ToN-IoT-R是由联合股份公司"Kryptonite"科研生产公司创建的一个网络入侵检测数据集，专注于恶意流量和网络攻击检测。该数据集包含18902360条记录，来源于NetFlowv5兼容数据，用于训练和测试基于图神经网络的网络攻击检测系统。创建过程中，数据集经过精心收集和标注，以确保数据的质量和适用性。ToN-IoT-R的应用领域主要集中在网络安全领域，旨在通过高精度的流量分类，提升网络入侵检测系统的性能，有效应对日益复杂的网络威胁。

ToN-IoT-R is a network intrusion detection dataset created by the joint-stock company "Kryptonite" Research and Production Corporation, focusing on malicious traffic and cyber attack detection. This dataset contains 18,902,360 records sourced from NetFlow v5-compatible data, and is used for training and testing graph neural network-based network attack detection systems. During its development, the dataset was carefully collected and annotated to ensure data quality and applicability. The application fields of ToN-IoT-R are mainly concentrated in the cybersecurity domain, aiming to improve the performance of network intrusion detection systems through high-precision traffic classification and effectively cope with increasingly complex cyber threats.

搜集汇总

背景与挑战

背景概述

ToN-IoT-R是一个由Kryptonite公司创建的网络入侵检测数据集，包含约1890万条NetFlowv5兼容记录，专门用于训练和测试图神经网络系统。它旨在通过高精度流量分类提升网络入侵检测性能，应对复杂网络威胁，主要应用于网络安全领域。