Flooding-Based-DDoS-Muleticlass-Dataset

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.

本数据集通过我们自研的、基于Python编程语言与scapy模块开发的工具完成提取与标注。该工具可将PCAP格式（PCAP）的原始网络数据包数据转换为适配机器学习任务的格式，例如CSV格式（CSV）。我们将本数据集用于基于泛洪攻击的多分类分布式拒绝服务（Distributed Denial of Service, DDoS）攻击检测任务，涵盖同步泛洪（SYN Flooding）、确认泛洪（ACK Flooding）、超文本传输协议泛洪（HTTP Flooding）以及用户数据报协议泛洪（UDP Flooding）共四类攻击类型。