Research On The Defense Strategy Of Malicious Program Propagation In Heterogeneous Wireless Sensor Networks Based On Game Theory

With the rapid development of wireless communication technology and sensors,the application fields of heterogeneous wireless sensor networks(HWSNs)continue to expand,such as environmental monitoring,military reconnaissance,biomedicine,etc.Because the working environment of HWSNs is relatively harsh,and the sensor nodes are also limited by their own energy and computing capabilities,they are vulnerable to network attacks,causing the entire network to fail to operate normally.Among them,the most serious impact on the network is the spread of malicious programs in the network.When a sensor node is successfully invaded and infected by the malicious program,the node will be captured by the malicious program and be infectious,and can infect the normal sensor nodes nearby.It quickly spread to the entire network.The purpose of this paper is to suppress the spread of malicious programs,combined with game theory to study the optimal defense strategies of HWSNs and malicious programs in the network attack and defense confrontation.The main research content includes the following aspects:(1)The structure of HWSNs,the core knowledge of game theory and classic infectious disease models are introduced,and the core network security problems faced by HWSNs and their research significance are put forward.(2)In order to suppress the spread of malicious programs,a HWSNs offensive and defensive game model is proposed based on the heterogeneity of nodes and the detection rate.Through calculation,the mixed Nash equilibrium of the offensive and defensive parties is obtained.Dynamic transitions of node states are established based on the classical infectious disease model and the differential game theory,which analyze the dynamic evolution law of node proportions.And through simulation experiments,the dynamic evolution process of malicious nodes under different game parameters is analyzed,and the method of effectively inhibiting the spread of malicious programs is verified.(3)In order to obtain the optimal offensive and defensive strategies for both offense and defense,introducing the detection rate and false alarm rate of the intrusion monitoring system,a HWSNs offensive and defensive evolutionary game model is proposed,and the offensive and defensive evolutionary game tree is established to solve the profit function under different strategies.Then the propagation dynamics and the stability of the evolutionary strategy can be analyzed to solve the evolutionary stability strategy in the evolutionary game of offense and defense.Finally,a numerical simulation experiment is carried out to analyze the evolution and stable state of the offensive and defensive parties under different strategic choices,and obtain the optimal defense strategy that effectively inhibits the spread of malicious programs.By adjusting the game parameters,comparative experiments are carried out to analyze the effect of different parameters on the equilibrium state of the game evolution.influences.In this paper,through the study of the propagation model and strategy of malicious programs in HWSNs,combined with differential game and evolutionary game,a HWSNs offensive and defensive game model is proposed.Through the analysis of the dynamic strategy evolution of the offensive and defensive parties in the game process,the optimal defense strategy of HWSNs is obtained,which provides effective theoretical guidance for restraining the spread of malicious programs in HWSNs.