IoT Intrusion Detection - Network Attack Dataset
1,191,264 network intrusion instances with 47 features. Large-scale dataset for training predictive models to detect IoT network attacks and anomalies.
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1,191,264 network intrusion instances with 47 features. Large-scale dataset for training predictive models to detect IoT network attacks and anomalies.
View DatasetComprehensive honeypot dataset for analyzing DDoS attacks on IoT devices, containing 10 key attributes from PCAP data converted to CSV format.
View DatasetBenchmark dataset for Internet of Medical Things (IoMT) security research. Contains 18 different cyberattack types targeting 40 IoMT devices across diverse medical protocols.
View Dataset123,117 network flow records with 83 features from real IoT devices (MQTT, ThingSpeak, Wipro) including DDoS, SSH brute-force, and Nmap attacks for IDS model training.
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