Flooding-Based-DDoS-Muleticlass-Dataset
Published: 18 July 2024| Version 1 | DOI: 10.17632/w24hc4vy7t.1
Contributors:
Hayelom Gebrye, , Description
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