Research on Optimization of Array Honeypot Defense Strategies Based on Evolutionary Game Theory

Honeypot has been regarded as an active defense technology that can deceive attackers by simulating real systems. However, honeypot is actually a static network trap with fixed disposition, which easily identified anti-honeypot technology. Thus, “passive” Dynamic makes up for the shortcomings of honeypot, dynamically adjusts strategies attack hackers. Therefore, confrontation between defenders and strategic game. This paper focuses on non-cooperative evolutionary game mechanism bounded rationality, aiming to improve security array system through evolutionarily stable derived from model. First, we construct three-party model composed defenders, legitimate users. Secondly, formally describe revenues players in game, build payoff matrices. Then strategy obtained analyzing Replicator Dynamics various parties. In addition, discuss equilibrium condition get influence number servers N stability evolution. MATLAB Gambit simulation experiment results show deduced are valid resisting attackers.