MininetGym: A modular SDN-based simulation environment for reinforcement learning in cybersecurity

Salvo Finistrella, Stefano Mariani, Franco Zambonelli

Abstract: Highlights•A modular simulator for Reinforcement Learning (RL) in Software Defined Network-based network scenarios.•Supports both tabular (Q-learning, SARSA) and deep RL (DQN, PPO, A2C) agents.•Real-time traffic generation and flow monitoring via Mininet and OpenDaylight.•Custom Gym environments for traffic classification and Denial of Service attack detection.•Configurable setup for benchmarking RL models in cybersecurity experiments.

External IDs:dblp:journals/softx/FinistrellaMZ25