LDDoS datasets in the SDN environment
Description
# 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
Files
Institutions
- Yangtze University