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Multi-domain warfare is a military doctrine that leverages capabilities fromdifferent domains, including air, land, sea, space, and cyberspace, to create ahighly interconnected battle network that is difficult for adversaries todisrupt or defeat. However, the adoption of 5G technologies on battlefieldspresents new vulnerabilities due to the complexity of interconnections and thediversity of software, hardware, and devices from different supply chains.Therefore, establishing a zero-trust architecture for 5G-enabled networks iscrucial for continuous monitoring and fast data analytics to protect againsttargeted attacks. To address these challenges, we propose a proactiveend-to-end security scheme that utilizes a 5G satellite-guided air-groundnetwork. Our approach incorporates a decision-dominant learning-based methodthat can thwart the lateral movement of adversaries targeting critical assetson the battlefield before they can conduct reconnaissance or gain necessaryaccess or credentials. We demonstrate the effectiveness of our game-theoreticdesign, which uses a meta-learning framework to enable zero-trust monitoringand decision-dominant defense against attackers in emerging multi-domainbattlefield networks.

Decision-Dominant Strategic Defense Against Lateral Movement for 5G Zero-Trust Multi-Domain Networks