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Antagonistic Agents in the Internet: Computer Network Warfare Simulation

In the paper the approach for the simulation of counteraction between malefactors and defense systems in the Internet is considered. We try to model these antagonistic actors as software agents' teams. To simulate the teams' warfare it is proposed to use various computational models (from analytical and packet-based to virtual and testbeds). The main attention is drawn to the application of agent-oriented simulation based on the packet-based imitation of network security processes. Such approach provides acceptable fidelity and scalability in representing the attack and defense mechanisms. The approach is examined on an example of "distributed denial of service" attacks and defense simulation. We consider different phases of antagonistic teams' operations-learning, decision making and counteracting, including the adaptation of one team to the actions of opposite team