A Game-Theoretic Approach for Network Security Using Honeypots

Cybersecurity plays an increasing role in today’s digital space, and its methods must keep pace with the changes. Both public private sector researchers have put efforts into strengthening security of networks by proposing new approaches. This paper presents a method to solve game theory model defining contents payoff matrix incorporating honeypots defense strategy. Using probabilistic approach we propose course-of-action Stackelberg (CoASG), where every path graph leads undesirable state based on issues found host. The reality system is represented cost function which helps us define find best possible combination strategies once run. results show benefits using this early prevention stages for detecting cyberattack patterns.