A flexible SDN-based architecture for identifying and mitigating low-rate DDoS attacks using machine learning
A flexible SDN-based framework for slow-rate DDoS attack mitigation by using deep reinforcement learning
BUNGEE: An Adaptive Pushback Mechanism for DDoS Detection and Mitigation in P4 Data Planes
Characterization of Google Home Traffic in a Home Network
Classifying and Understanding Tor Traffic Using Tree-Based Models
Dockemu 2.0: Evolution of a Network Emulation Tool
DockSDN: A hybrid container-based software-defined networking emulation tool
Emerging DDoS attack detection and mitigation strategies in software-defined networks: Taxonomy, challenges and future directions
Euclid: A fully in-network, p4-based approach for real-time ddos attack detection and mitigation
Network-based Intrusion Detection: A One-class Classification Approach
Offloading real-time DDoS attack detection to programmable data planes.
ORACLE: An Architecture for Collaboration of Data and Control Planes to Detect DDoS Attacks
SDN-Based Architecture for Transport and Application Layer DDoS Attack Detection by Using Machine and Deep Learning
Security in SDN: A comprehensive survey
