vIoT-DDoS-2025: A hybrid testbed dataset for DDoS detection in virtualised IoT networks

This dataset contains network traffic data collected from a hybrid
physical-virtual IoT testbed for DDoS attack detection research.
The dataset includes 168 hours of continuous baseline traffic
characterisation (15,247,832 packets) and 20 experimental attack
scenarios covering multiple DDoS attack types (SYN flood, UDP flood,
ICMP flood, HTTP flood, Slowloris, DNS amplification). The testbed
combines physical IoT devices (Raspberry Pi) with virtualised
components in Software-Defined Networking (SDN) and Network Function
Virtualisation (NFV) environments, addressing the specific security
challenges of virtualised IoT infrastructure.