RT-IoT2022 - Real-Time IoT Infrastructure Intrusion Detection

RT-IoT2022 is a proprietary dataset derived from a real-time IoT infrastructure, introduced as a comprehensive resource for cybersecurity research. The dataset integrates diverse IoT traffic patterns including normal operations and various attack scenarios such as DDoS, port scanning, malware communication, and man-in-the-middle attacks. It contains over 123,000 instances with 85 features extracted from network traffic captures. The dataset supports development of machine learning models for real-time threat detection, anomaly identification, and security analytics in IoT environments. Features include packet-level statistics, flow characteristics, protocol information, and labeled attack categories.