21 citations · 24 across the 5 of their papers we have counts for
5 papers
Towards Autonomous Cyber Operation Agents: Exploring the Red Case
Li Li, Jean-Pierre S. El Rami, Ryan Kerr +2
Recently, reinforcement and deep reinforcement learning (RL/DRL) have been applied to develop autonomous agents for cyber network operations(CyOps), where the agents are trained in…
A Multiagent CyberBattleSim for RL Cyber Operation Agents
Thomas Kunz, Christian Fisher, James La Novara-Gsell +2
Hardening cyber physical assets is both crucial and labor-intensive. Recently, Machine Learning (ML) in general and Reinforcement Learning RL) more specifically has shown great pro…
Enabling A Network AI Gym for Autonomous Cyber Agents
Li Li, Jean-Pierre S. El Rami, Adrian Taylor +2
This work aims to enable autonomous agents for network cyber operations (CyOps) by applying reinforcement and deep reinforcement learning (RL/DRL). The required RL training environ…
Unified Emulation-Simulation Training Environment for Autonomous Cyber Agents
Li Li, Jean-Pierre S. El Rami, Adrian Taylor +2
Autonomous cyber agents may be developed by applying reinforcement and deep reinforcement learning (RL/DRL), where agents are trained in a representative environment. The training…
CyGIL: A Cyber Gym for Training Autonomous Agents over Emulated Network Systems
Li Li, Raed Fayad, Adrian Taylor
Given the success of reinforcement learning (RL) in various domains, it is promising to explore the application of its methods to the development of intelligent and autonomous cybe…