4 research outputs found
Towards Autonomous Cyber Operation Agents: Exploring the Red Case
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 representative environment using RL and
particularly DRL algorithms. The training environment must simulate CyOps with
high fidelity, which the agent aims to learn and accomplish. A good simulator
is hard to achieve due to the extreme complexity of the cyber environment. The
trained agent must also be generalizable to network variations because
operational cyber networks change constantly. The red agent case is taken to
discuss these two issues in this work. We elaborate on their essential
requirements and potential solution options, illustrated by some preliminary
experimentations in a Cyber Gym for Intelligent Learning (CyGIL) testbed.Comment: Presented at 2nd International Workshop on Adaptive Cyber Defense,
2023 (arXiv:2308.09520
Artificial Intelligence and International Conflict in Cyberspace
This edited volume explores how artificial intelligence (AI) is transforming international conflict in cyberspace. Over the past three decades, cyberspace developed into a crucial frontier and issue of international conflict. However, scholarly work on the relationship between AI and conflict in cyberspace has been produced along somewhat rigid disciplinary boundaries and an even more rigid sociotechnical divide – wherein technical and social scholarship are seldomly brought into a conversation. This is the first volume to address these themes through a comprehensive and cross-disciplinary approach. With the intent of exploring the question ‘what is at stake with the use of automation in international conflict in cyberspace through AI?’, the chapters in the volume focus on three broad themes, namely: (1) technical and operational, (2) strategic and geopolitical and (3) normative and legal. These also constitute the three parts in which the chapters of this volume are organised, although these thematic sections should not be considered as an analytical or a disciplinary demarcation