IDSIoT2024

This data reflects the prevalence and adoption of smart devices. The experimental setup to generate the IDSIoT2024 dataset is based on an IoT network configuration consisting of seven smart devices, each contributing to a diverse representation of IoT devices. These include a smartwatch, smartphone, surveillance camera, smart vacuum and mop robot, laptop, smart TV, and smart light. Among these, the laptop serves a dual purpose within the network. Firstly, it is connected to persistently trace network traffic, automatically generating and saving log files for analysis. Secondly, the laptop is actively involved in deploying various network-based attacks as part of the experimental scenarios. This comprehensive IoT network configuration enables the evaluation of the proposed methodologies and detection mechanisms in a realistic and varied environment.

本数据集反映了智能设备的普及与应用现状。用于生成IDSIoT2024数据集的实验配置基于包含7台智能设备的物联网（Internet of Things, IoT）网络架构，每台设备均能体现不同类型物联网设备的特征。具体包括智能手表、智能手机、监控摄像头、智能扫拖一体机、笔记本电脑、智能电视以及智能照明灯。其中，笔记本电脑在该网络中承担双重功能：其一，该设备持续连接以追踪网络流量，自动生成并保存日志文件供分析使用；其二，作为实验场景的组成部分，该笔记本电脑主动发起各类基于网络的攻击。该完备的物联网网络架构能够在真实且多样化的环境中，对所提出的方法与检测机制进行评估。

搜集汇总

背景与挑战

背景概述

IDSIoT2024是一个用于物联网安全研究的实时数据集，包含多种智能设备的网络流量和模拟攻击数据，适用于机器学习驱动的入侵检测系统开发。数据集以CSV格式提供，包含预处理后的子类别，支持直接用于算法实现。