Self organized multi-agent entangled hierarchies for network security
Eric M. Holloway, Gary B. Lamont · 2009
Cyber-security management is of central importance in financial, business, and military environments. Thus, we propose an effective and efficient self organized entangled hierarchial architecture of multiple agents that decentralizes network security control and communication. Considering the Cyberspace container model, the self organized multi-agent swarms are evolved based on partially observable Markov decision process formal models. Desired network security swarm behaviors are defined and 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 various network security scenarios using statistical testing techniques and visualization.