IoT-DH Dataset

The IoT DDoS Honeypot Dataset is a comprehensive collection of data designed to enhance our understanding of Distributed Denial of Service (DDoS) attacks targeting Internet of Things (IoT) devices. This dataset likely includes a diverse range of information, such as network traffic logs, packet captures, and system-level data, generated during the operation of IoT honeypots. The dataset aims to capture the tactics, techniques, and procedures employed by malicious actors when attempting to compromise and overwhelm IoT devices with traffic, leading to denial of service. The collected data comprises information from the Internet of Things (IoT), obtained through a honeypot—a system intentionally designed to attract cyberattacks and unveil the strategies, methods, and procedures employed by attackers. The main goal of acquiring this data is to assist in monitoring attack traffic, identifying potential threats, and analyzing the techniques and approaches used by assailants. This information is logged in the PCAP data format and later converted into a CSV file for convenient data access. Within this dataset, there are 10 key attributes provided for use, which encompass dt, dur, dur_nsec, tot_dur, pktrate, protocol, port_no, tx_kbps, rx_kbps, tot_kbps, and label.

物联网分布式拒绝服务（Distributed Denial of Service, DDoS）蜜罐数据集是一套综合性数据集，旨在深化对针对物联网（Internet of Things, IoT）设备的分布式拒绝服务攻击的研究认知。该数据集涵盖多维度信息，包括物联网蜜罐运行过程中产生的网络流量日志、数据包捕获文件与系统级数据等。本数据集旨在完整记录恶意行为者试图通过流量入侵并耗尽物联网设备资源、引发拒绝服务攻击时所采用的战术、技术与流程。本次采集的数据源自物联网环境，通过蜜罐系统获取——蜜罐是一类专为吸引网络攻击、揭露攻击者所用策略、手段与流程而设计的系统。采集该数据集的核心目标，在于辅助开展攻击流量监测、潜在威胁识别以及攻击者技术手段分析等工作。相关信息以PCAP格式进行日志存储，后续将转换为CSV文件以提升数据访问的便捷性。本数据集共提供10项核心可用属性，分别为dt、dur、dur_nsec、tot_dur、pktrate、protocol、port_no、tx_kbps、rx_kbps、tot_kbps与label。

搜集汇总

背景与挑战

背景概述

IoT-DH Dataset是一个专注于物联网设备DDoS攻击的数据集，包含蜜罐收集的网络流量和系统数据，旨在帮助分析攻击策略。数据集提供10个关键属性，适用于计算机科学和机器学习研究，采用开放许可。