INDDOS24 - IoT DDoS Attack Dataset

The INDDOS24 Dataset is a comprehensive and synthetic dataset designed for analyzing Distributed Denial of Service (DDoS) attacks in Internet of Things environments. It includes traffic captures from simulated IoT networks under various attack scenarios including volumetric attacks, protocol attacks, and application layer attacks. Features include packet-level statistics, flow characteristics, protocol information, packet timing, payload analysis, and detailed attack labels. The dataset covers multiple IoT device types and attack vectors, enabling development of robust intrusion detection systems and mitigation strategies for IoT deployments.