UQ-IoT-IDS2021

UQ-IOT-IDS-2021 dataset contains benign traffic of IoT devices, including smartphones, smart TV, IP cameras, smart speakers, Raspberry Pis, etc., and malicious traffic from 9 types of cyberattacks, including Host Discovery, Port Scanning, Service Detection, ARP Spoofing, Telnet Brute-force, SYN Flooding, UDP Flooding, HTTP Flooding, and ACK Flooding. The raw data was captured with WireShark in a realistic network environment in the School of Information Technology and Electrical Engineering at the University of Queensland. The raw data was processed by the feature extractor in Kitsune(Mirsky et al., 2018) to extract 100 temporal-statistical features. The raw data is saved in pcap files. The total size of the dataset is 70.8 GB. The total number of records is 41404983. The dataset consists of Benign Samples and Attack Samples. Benign Samples contains 7 files with only normal traffic that mimic IoT devices' normal daily activities for a whole week (5 weekday samples, 1 Saturday sample, and 1 Sunday sample). Attack Samples were captured separately for each device type under each attack type.UQ-IOT-IDS-2021 数据集包含多类物联网设备的良性流量，涵盖智能手机、智能电视、IP摄像机、智能音箱、树莓派（Raspberry Pis）等设备，同时包含9类网络攻击产生的恶意流量，具体包括主机发现（Host Discovery）、端口扫描（Port Scanning）、服务探测（Service Detection）、ARP欺骗（ARP Spoofing）、Telnet暴力破解（Telnet Brute-force）、SYN泛洪（SYN Flooding）、UDP泛洪（UDP Flooding）、HTTP泛洪（HTTP Flooding）以及ACK泛洪（ACK Flooding）。原始数据通过Wireshark（WireShark）在昆士兰大学信息技术与电气工程学院的真实网络环境中捕获，随后经由Kitsune（Mirsky等人，2018）内置的特征提取器处理，提取得到100项时间统计特征。原始数据以pcap文件格式存储，该数据集总容量为70.8 GB，总记录数达41404983条。数据集分为良性样本集与攻击样本集两类：良性样本集包含7个文件，仅包含模拟物联网设备一整周日常正常运行的正常流量，其中包括5个工作日样本、1个周六样本及1个周日样本；攻击样本集则针对每种攻击类型下的每一类设备分别捕获构建。