LDDoS datasets in the SDN environment

# SDN-based LDDoS Attack Simulation Dataset

## Dataset Description

This dataset comprises network traffic data simulating Low-rate Distributed Denial of Service (LDDoS) attacks in a Software-Defined Networking (SDN) environment. The collection is specifically designed to support research in network security, intrusion detection systems, and machine learning-based threat mitigation in SDN architectures.

Key Characteristics:
- Realistic emulation of SDN network traffic patterns
- Comprehensive inclusion of both benign and LDDoS attack traffic
- Flow-level network characteristics with extensive feature engineering
- Suitable for training and evaluating intrusion detection systems and ML algorithms
- Supports advanced network traffic analysis and cybersecurity research

## Attack Types Description

Slow HTTP Request: Exploits HTTP protocol by sending partial requests to keep connections open
Slow SYN Flood: Variation of SYN flood with slow connection establishment
Slow UDP Flood: UDP-based flooding attack with controlled packet rates
Slowloris: Opens multiple HTTP connections and keeps them open with partial requests