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蜜罐数据集（IoT DDoS Honeypot Dataset）是一套综合性数据集合，旨在加深我们对针对物联网（Internet of Things, IoT）设备的分布式拒绝服务（Distributed Denial of Service, DDoS）攻击的认知。该数据集涵盖多类多样化信息，包括物联网蜜罐运行期间生成的网络流量日志、数据包捕获数据以及系统级数据等。本数据集旨在记录恶意行为者在尝试入侵并通过流量压垮IoT设备以实现拒绝服务时所采用的战术、技术与流程。 本次采集的数据源自物联网设备，通过蜜罐——一种专为吸引网络攻击、揭露攻击者所用策略、方法与流程的蓄意部署系统——获取。采集该数据的核心目标是助力攻击流量监控、潜在威胁识别，以及对攻击者所用技术与手段开展分析。 相关信息以PCAP格式进行记录，后续将转换为逗号分隔值（CSV）文件以方便数据访问。本数据集共提供10项关键属性供使用，涵盖dt、dur、dur_nsec、tot_dur、pktrate、protocol、port_no、tx_kbps、rx_kbps、tot_kbps及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（IoT）设备分布式拒绝服务（DDoS）攻击的数据集，通过蜜罐系统收集网络流量、数据包和系统数据，旨在分析攻击者的策略和技术。数据以PCAP格式记录并转换为CSV，包含10个关键属性（如协议、端口、标签等），用于监控攻击流量、识别威胁和增强IoT安全研究。