Research On Defense Strategies Based On Bayesian And Stackelberg Game Models In The Internet Of Thing

The Internet of Things connects various mobile terminal devices to the network and realizes the close connection between the digital and physical worlds,significantly facilitating people’s lives.However,there are security issues in the interaction between the terminal devices,which can expose information privacy to significant threats and thus affect the development of Io T systems.Previous studies usually propose solutions from fields such as cryptography,but most of these solutions have high complexity and low effectiveness.In this paper,from the perspective of game theory,a defense strategy based on Bayesian and Stackelberg game models is proposed to solve the above problem as follows.To solve the problem of malicious applications attacking terminal devices through false bids,a defense strategy based on the four-round bargaining Bayesian game model is proposed to model the interaction between terminal devices and applications,which provides collection data services,as a Bayesian game with four rounds of bargaining,thus transforming the problem into how to motivate malicious applications to adopt cooperative strategies.First,to determine the optimal bid of the application when one round of bargaining is successful,this scheme used four rounds of bargaining,determining the payoff matrix when both parties interact.Second,to discourage malicious applications from making a false bid,this scheme introduced the detection rate of regular devices to adjust the matrix.Finally,to protect the information security,this scheme determined the optimal defense strategy of the device by Bayesian Nash equilibrium analysis to prevent the device from being attacked by malicious applications.To solve the attacker’s attack on the smart platform,a multi-stage defense strategy based on the Stackelberg game model is proposed to model the interaction between the smart platform and the attacker as a multi-stage Stackelberg game,thus transforming the problem into how to make full use of resources to monitor the attacker.First,to determine the smart platform’s defense strategy,this scheme obtained the utility function of the platform to the node by combining the K-shell value of the node from the perspective of the defender and attacker payoff.Second,to determine the placement of informers,this scheme proposed a label propagation algorithm based on node importance by calculating node importance.Third,to obtain the attacker’s attack target set,this scheme calculated the propagation capability of nodes and proposed a four-attribute-based node propagation capability calculation method.Finally,to establish the payoff matrices of independent and coordinated attacks by attackers,this scheme considered the impact of cooperative attack behavior among attackers on the defense strategy of the smart platform when there are multiple attackers.The simulation experiment results show that the defense strategy based on the four-round bargaining Bayesian game model improves the respective payoff of applications and devices when a transaction is reached,reduces the probability of malicious applications adopting the attack strategy,and thus enhances the security of information privacy;the multi-stage defense strategy based on the Stackelberg game model can effectively monitor the attacker’s attack behavior,improves the defense payoff of the smart platform,reduces the probability of attackers taking attacking behaviors,and thus improves the security of the terminal device network.In summary,the above two solutions can effectively solve the terminal device interaction security problem.