Research On Malicious Program Propagation And Control Strategy In Wireless Sensor Networks

Wireless Sensor Network(WSN)is a kind of wireless network that is mainly composed of a large number of sensor nodes by self-organization,and these nodes cooperate with each other to complete the task.With the increasing use of WSN in all areas of today's world,more and more malicious attackers are interested in the WSN,and the security of WSN has become an urgent problem.Malware is a common form of network attack,and it can quickly spread in the network,consume node energy,block the communication channel,and even make the WSN paralyzed.Therefore,it is necessary to establish an effective mathematical model to express the spread of malware.At the same time,in order to control the spread of malware in the WSN,the reaearch of control strategy is also essential.Therefore,the main research work in this thesis are to establish mathematical models to simulate the spread of malware in WSN,and propose control strategies to control the spread of malware in WSN.The main research work of this thesis are as follows:1.Base on the traditional malware propagation model,considering the communication radius,the sending rate of the node and the sleep scheduling mechanism,this thesis construct the propagation model of the malware in WSN.This thesis analyzes the equilibrium point of the model and its stability,and obtains the critical condition that the malware can propagate continuously in WSN.2.Because the continuous propagation model based on differential equations is difficult to describe the interaction between sensor nodes and their differences.Considering the MAC mechanism and the sleep scheduling mechanism,a malware propagation model based on cellular automata(CA)is proposed.At the same time,in order to control the spread of malware,this thesis proposes a mixed immune control strategy.3.In order to prevent the spread of malware in the WSN,the distribution area has some mobile immune nodes that can immunize healthy nodes and heal nodes infected by malware.Based on this,this thesis builds a malware propagation model.This thesis analyzes the equilibrium point of the model and its stability.At the same time,when the active proportion of the mobile immune node is the control variable,the optimal objective function is proposed based on the above model.At the same time,this thesis obtain the optimal control variable by using the Pontryagin maximum principle.