Military network security using self organized multi-agent entangled hierarchies

Effective and efficient Cyber-security management is of central importance in military environments. Many contemporary military communication control structures are based on static, hierarchical designs, which generally lack scalability and flexibility due centralization. Thus, we propose a self organized entangled hierarchial architecture of multiple agents that decentralizes network security control and communication. In particular, we focus on the military CyberCraft container structure. The self organized multi-agent swarms are evolved based on partially observable Markov decision process formal models. Desired swarm behaviors are formalized to interact with these models. The "optimal" policy (agent rules and parameters) for a given behavior is evolved using a multi-objective evolutionary algorithm. Swarm effectiveness is compared in numerous military network security scenarios using statistical testing techniques and visualization.