UCM_FibIoT2024

The UCM_FibIoT2024 dataset is a detailed collection of data aimed at improving the understanding of Distributed Denial of Service (DDoS) attacks against smart home central control units, specifically the Fibaro Home Center 3. This dataset documents various types of DDoS attacks, including TCP SYN flood, ICMP flood, and HTTP flood, to provide insight into their impact on the functionality and availability of IoT devices.

Data collection was performed on a local network using the hping3 tool for SYN and ICMP flood attacks, and the LOIC tool for HTTP flood attacks. Network traffic was captured using Wireshark software, and the dataset is available in both PCAP and CSV formats for detailed analysis. The captured data includes key attributes such as timestamps, source and destination IP addresses, protocols, packet lengths, and port numbers.

The primary goal of this dataset is to facilitate the simulation and analysis of DDoS attacks on smart home central control units, providing a resource for researchers focused on cybersecurity and IoT device protection. By examining the network traffic logs and packet captures, researchers can identify attack patterns, understand the dynamics of different types of DDoS attacks, and develop effective mitigation mechanisms.

The dataset is organized to include detailed logs of each attack, such as start and end times, frame numbers, and total number of attack packets. For ease of use, the data is organized into folders, and the SYN flood attack data is further subdivided by the ports targeted (80, 443, and 500).

The UCM_FibIoT2024 dataset serves as a valuable tool for analyzing and developing defenses against DDoS attacks on IoT devices. It provides a practical resource for researchers and cybersecurity professionals to effectively simulate, analyze, and mitigate DDoS attacks.