  Multi-domain warfare is a military doctrine that leverages capabilities from
different domains, including air, land, sea, space, and cyberspace, to create a
highly interconnected battle network that is difficult for adversaries to
disrupt or defeat. However, the adoption of 5G technologies on battlefields
presents new vulnerabilities due to the complexity of interconnections and the
diversity of software, hardware, and devices from different supply chains.
Therefore, establishing a zero-trust architecture for 5G-enabled networks is
crucial for continuous monitoring and fast data analytics to protect against
targeted attacks. To address these challenges, we propose a proactive
end-to-end security scheme that utilizes a 5G satellite-guided air-ground
network. Our approach incorporates a decision-dominant learning-based method
that can thwart the lateral movement of adversaries targeting critical assets
on the battlefield before they can conduct reconnaissance or gain necessary
access or credentials. We demonstrate the effectiveness of our game-theoretic
design, which uses a meta-learning framework to enable zero-trust monitoring
and decision-dominant defense against attackers in emerging multi-domain
battlefield networks.
