Research On Security Game Of IWSN Physical Layer Node In Mobile Environment

Industrial Wireless Sensor Network(IWSN)is a new type of network which applies wireless sensor networks to industry 4.0.Considering the uncertainty and danger of the industrial environment,the reliability of communication between a large number of sensor devices that collect,exchange and process information required by industrial production is becoming higher and higher.The communication of these devices is more supported and provided by IWSN.However,due to the characteristics of IWSN wireless communication media and electromagnetic broadband interference from various devices(such as motors,pulse generators and thermostats),IWSN are more vulnerable to interference attacks from the physical layer.Therefore,in order to solve the problem of resisting static and mobile jamming attacks on legitimate nodes of the IWSN physical layer,stackelberg game model based on bayesian probability,cost function and cooperative jamming technology are designed to improve the anti-jamming ability of legitimate nodes and ensure the communication security of the IWSN physical layer.The main research contents are as follows:(1)The bayesion-stackelberg game model is designed to solve the static interference attack problem of the mobile sink node in the physical layer of IWSN.The bayesion-stackelberg game model is studied for the confrontation behavior between mobile sink nodes and interference nodes,considering the uncertainty of channel gain and transmission cost factors between nodes and energy consumption.Add uncertainty factors to the node utility function to reflect the incompleteness of channel gain and transmission cost factors.The inverse induction method is used to analyze the equilibrium optimal strategy of the game,and the optimal transmission power of the sink node is obtained to improve the anti-interference ability of the sink node.(2)Aiming at the mobile interference attack problem of the mobile sink node in the IWSN physical layer,a power control game model based on cost function is designed.The antagonistic interaction between the sink node and the mobile attack node is modeled as a stackelberg model,the game equilibrium solution is solved,and the optimal game strategy of the sink node is obtained.Considering the selfishness and blindness of the attack node in adjusting the transmission power,the cost function with energy consumption function,channel loss function and reward function is added to the utility function of the attack node to reduce the attack efficiency of the attack node and improve the communication security between the sink node and the legitimate node.(3)Aiming at the problem that the mobile sink node cannot guarantee the security rate of IWSN network by passively participating in the game under mobile jamming attacks,a twolayer game model based on cooperative jamming technology is designed.The best cooperative node is selected from the cluster head nodes,and the sink node can jointly resist the mobile interference attack node.The sub-optimization problem of the power of each node is transformed into the optimization problem of the network security rate.The two-layer cooperative stackelberg game model is used to model the cooperation and competition relationship between the sink node,the best cooperative node and the attack node.The reverse analysis method is used to obtain the best transmit power and the best cooperative interference power of the sink node,in order to improve the network security rate of the IWSN communication.Matlab2020 simulation results show that: the bayesian-stackelberg game model based on MSPC algorithm can effectively improve the anti-interference ability of mobile sink nodes and save energy consumption of nodes;The mobile power control game scheme based on cost function can effectively reduce the attack efficiency of mobile attack nodes and improve the communication security of legitimate nodes in IWSN;The best cooperative jamming node selection scheme based on cooperative jamming technology has better jamming effect on mobile attack nodes and effectively improves the network security rate of IWSN.