Research And Simulation Of Internet Of Things Botnet Virus Propagation Model

The rapid development of Internet of Things(Io T)technology has brought great convenience to people's lives.However,development of security is too slow to match the growth of Io T device nodes,which has caused many security problems such as Io T botnet viruses.As a very harmful botnet virus,Mirai virus infected nearly 600,000 Io T devices in 2016.The honeypot system monitoring results show that the spread of Mirai virus is still active in 2020.This article studies the propagation mechanism and characteristics of Mirai virus.The Mirai virus propagation dynamics model was established,stability theory analysis and numerical simulation experimental research are carried out on the model,and the results obtained provide a theoretical basis for controlling botnets.The main contents of this paper are as follows:(1)Establish a classification mechanism for Io T nodes,and divide Io T device nodes into transmission nodes and functional nodes during modeling.Considering the situation that functional nodes have no infection ability after infection,the SDIV-FB model is proposed.The model's non-propagation equilibrium point,botnet-existence equilibrium point,and transmission threshold are calculated.When the transmission threshold is less than 1,it theoretically proves that the virus-free equilibrium point of the model has local stability;when the transmission threshold is greater than 1,it proves the stability of the toxic equilibrium point of the model.The experimental results show that when the virus only relies on the transmission node to spread,reducing the transmission node infection rate or increasing its recovery rate is an effective means to reduce the transmission threshold.(2)Considering the infection ability of functional nodes after infection,the SDIV-FB model is improved,and the Io T-SDIV model is further established.Through numerical simulation research,different experimental results from SDIV-FB model are obtained.Provided guidance for dealing with the spread of Mirai virus.The experimental results show that when considering the infectivity of two types of nodes at the same time,we must pay attention to the "short-board effect" of the virus protection process,that is,only by reducing the infection rate of the two types of nodes at the same time can the profit be maximized.(3)Considering functional nodes as infection targets,the Io T-CBI model is established.The theory of hacker ecology is introduced,and the relationship between the scale of botnets and the ability of hackers to attack is studied.At the same time,the "maximum tolerance" parameter was introduced into the model to verify its influence on the scale of the botnet,and a countermeasure to control the formation of the botnet was obtained.Experimental results show that under the premise of limited resources,priority is given to defending against hacker attacks,which can more effectively control the scale of botnets.Therefore,we must try our best to achieve "zero tolerance" in the face of hacker attacks.