IoT-SFC v2 — 49.9M-Record IoT/IIoT Attack Dataset
Publisher-reported 49,902,287 labeled IoT/IIoT records with 88 columns; the inspected attack log contains 302 sessions across 14 attack types.
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Publisher-reported 49,902,287 labeled IoT/IIoT records with 88 columns; the inspected attack log contains 302 sessions across 14 attack types.
View DatasetIoT IDS dataset for distinguishing normal and malicious ICMP/Ping traffic generated from an ESP-01s embedded device. PCAP, Zeek logs, and labelled CSV files.
View DatasetHeterogeneous IoT/IIoT dataset from UNSW Canberra Cyber Range with network traffic, Windows/Linux OS traces, and IoT sensor telemetry. Labeled for 9 attack types including DoS, DDoS, ransomware, and XSS. CSV and PCAP formats. Benchmark for AI-based IDS evaluation.
View DatasetReal IoT malware traffic dataset with 325M labeled network flows from 20 malware and 3 benign device captures over 500+ hours. PCAP and Zeek conn.log formats. Used for IoT botnet detection, malware traffic classification, and ML security research.
View DatasetReal-time IoT network security dataset from a live IoT infrastructure with 41 bidirectional flow features. Includes ThingSpeak-LED, Wipro-Bulb, and MQTT-Temp devices with SSH brute force, DDoS (Hping/Slowloris), and Nmap attack scenarios. CSV format. Used for adaptive IDS development.
View DatasetComprehensive network traffic dataset from UNSW Canberra Cyber Range Lab capturing benign and malicious flows in simulated IoT/IIoT smart environments using Argus and Zeek (Bro) tools.
View DatasetComprehensive real-time IoT infrastructure dataset from UCI. Captures bidirectional network traffic using Zeek monitoring tool. Ideal for IDS development.
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