Enhancing the Network Security Using Amalgam Games
This paper presents a new modeling method to enhance the network security using game theory. Reconnaissance is applied as a game strategy to obtain more information about the enemy's strategic intentions. To model the framework and analyze to defend the network attacks using various game nets. The game issues are solved with the help of game theory concepts. The course of action for a player in multi-player game environment with the mixed strategy is determined. Finally, the Nash equilibrium is computed and best-response strategies for the players (administrator and attacker) are found.