Reinforcement learning for cyberattacks

Authors:

  • Johan O Karlsson
  • Hannes Holm

Publish date: 2024-02-19

Report number: FOI-R--5533--SE

Pages: 35

Written in: Swedish

Keywords:

  • reinforcement learning
  • cyber security
  • autonomous threat agents
  • Lore

Abstract

An autonomous threat agent has been trained through reinforcement learning to execute attack scenarios against the cyber range Crate with the help of the tool Lore. The technical development of a platform for such an autonomous threat agent was difficult, which left only a few weeks for training the agent. The available time was too limited to allow learning anything of value. However, developed tools, methods and framework enable further research that hopefully results in training of competent autonomous threat agents.