Flooding-Based-DDoS-Muleticlass-Dataset
Published: 18 July 2024| Version 1 | DOI: 10.17632/w24hc4vy7t.1
Contributors:
Hayelom Gebrye, Yong Wang, Fagen LiDescription
The dataset was extracted and labeled using our developed tool using the Python programming and scapy module. The tool was took a raw network data in a PCAP format and transform it into machine learning suitable format such as the CSV format. We used the dataset for the purpose of Flooding-based DDoS multiclass attack detection which includes SYN Flooding, ACK Flooding, HTTP Flooding, and UDP flooding attack types.
Files
Institutions
- University of Electronic Science and Technology of China
Categories
Network Security, Feature Selection, Denial-of-Service Attack, Feature Extraction, Data Analysis, Cyber Attack, IoT Application, Applied Machine Learning