A flexible SDN-based framework for slow-rate DDoS attack mitigation by using deep reinforcement learning
Network-based Intrusion Detection: A One-class Classification Approach
Towards security automation in Software Defined Networks
Transport and Application Layer DDoS Attacks Detection to IoT Devices by Using Machine Learning and Deep Learning Models
BUNGEE: An Adaptive Pushback Mechanism for DDoS Detection and Mitigation in P4 Data Planes
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
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
Watching Smartly from the Bottom: Intrusion Detection revamped through Programmable Networks and Artificial Intelligence
A flexible SDN-based architecture for identifying and mitigating low-rate DDoS attacks using machine learning
Classifying and Understanding Tor Traffic Using Tree-Based Models
Dockemu 2.0: Evolution of a Network Emulation Tool
Euclid: A fully in-network, p4-based approach for real-time ddos attack detection and mitigation
Security in SDN: A comprehensive survey
