arXiv · 2108.09118
CybORG: A Gym for the Development of Autonomous Cyber Agents
Abstract
Autonomous Cyber Operations (ACO) involves the development of blue team (defender) and red team (attacker) decision-making agents in adversarial scenarios. To support the application of machine learning algorithms to solve this problem, and to encourage researchers in this field to attend to problems in the ACO setting, we introduce CybORG, a work-in-progress gym for ACO research. CybORG features a simulation and emulation environment with a common interface to facilitate the rapid training of autonomous agents that can then be tested on real-world systems. Initial testing demonstrates the feasibility of this approach.
Explore related subjects
Keep this discovery
Maxwell Standen, Martin Lucas, David Bowman, Toby J. Richer, Junae Kim, Damian Marriott. 2021-08-20. CybORG: A Gym for the Development of Autonomous Cyber Agents. https://arxiv.org/abs/2108.09118
Cite the original work for its findings. Save a collection to share your selection of sources.