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.

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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

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