Game-theoretic modeling of the behavior of Domain Name System attacker

The last few years have witnessed a rapid increase in the number of cyber-attacks on governments and organizations. To combat these attacks, a number of works have developed mathematical models that attempt to capture the behavior of attackers. However, these works focus on the process of the attack rather than the behavior of the attacker, which hinders the effectiveness of these models. On the other hand, many applications in cyber security have utilized game theory to model both the defender and attacker. This paper combines the Markov Chain models with game theory in order to assess the security state of Domain Name System (DNS) servers. This assessment was performed using realistic values of reward and cost in the game model. The simulation results indicate that the proposed modifications to the model have improved the accuracy of modeling the behavior of attackers on DNS servers.