Agent-based Malware Propagation Model Of Wechat Mobile Social Platform

At present,the main research method for malicious code propagation modeling is mathematical differential kinetic equation,but the method has limited form change and poor flexibility.The node transformation between different models is similar,and the evolution trend of the model is almost the same.There is not much new discovery and progress.The difference between different equations is mainly based on different scenariOS to increase or delete parameters,the introduction of different infection state variables.Because the infection rate and recovery rate and other parameters are basically given by the designer,there is a deviation from the actual situation.Therefore,this method is biased in modeling the malicious code propagation in the WeChat ecosystem,which is characterized by mobile and socialization.So this topic uses more intelligent,adaptive Agent technology to the spread of the main users of WeChat and its information dissemination rules and scenariOS modeling.In this paper,the user is portrayed from the micro-perspective of psychological,emotional,trust,active,and using personality,and the WeChat social environment characteristics,micro-messy malicious code dissemination of factors in-depth analysis of the combination of different elements of the system found that the macro level,so that the micro-code on the study of malicious code transmission more scientific and applicability.Based on the above characteristics,this paper mainly carries on the following research: We carry on the empirical analysis and calculation to the WeChat social network statistical characteristic,and analyzes the characteristic and the influence factor of WeChat malicious code transmission.The Agent technology is applied to build the concept model of malicious code propagation in WeChat,including the concept modeling of the scene modeling and propagation rule modeling of WeChat,and the method of the generation of the WeChat social network.The model of malicious code propagation based on agent technology is quantified and quantified to quantitatively represent and calculate the influence factors of malicious code features,user social attribute characteristics and group atmosphere,and the defination of the propagation state and evolution rules of malicious code.The simulation of WeChat malicious code propagation model based on Agent technology use the NetLogo simulation platform,with the parameters of simulation network assigned according to the official report of WeChat.The statistical characteristics of the generated network topology are analyzed from the perspective of complex network,and the rationality of the generated network method is proved.Combined with the real-life situation,we proposed the spread of the five malicious code propagation scenariOS and four propagation rules.From the combination of simulation,the experimental results from malicious code characteristics,user personal attributes,group atmosphere,dissemination scene and rules of malicious code propagation speed,scale,the dynamic evolution of the study,we find that propagation characteristics and rules peculiar to each scene and propagation rules,and the spread of malicious code is favorable and unfavorable factors.According to the real life situation and the experimental results,the paper summarizes the propagation law and the advantages and disadvantages of various factors,and uses this law to guide the solution of the practical problems,and puts forward the corresponding feasible measures.In addition,it is proved by the experiment that Agent-based simulation modeling of malicious code propagation can not only reproduce the existing actual communication,but also discover the macroscopic phenomenon that has not appeared in real life,which not only validates the model to a certain extent but shows the effectiveness and advatages of the model.