The Research Of Network Security Risk Assessment Model Based On Body Temperature

With the rapid development of Internet,various types of network attack methods emerge in endlessly,network security problems facing huge challenges.To this,businesses,organizations,and research institutions to protect important information and reduce the economic loss to deploy a large number of network security devices.Although these devices have played a role,but the face of a variety of new attack methods,still cannot meet the demand of normal people's high.Therefore,experts and scholars put forward the network security risk assessment,risk assessment of the current network,ahead of prevention,good prevention effect.But because of the complexity of the current network,attack on a large scale,variety,in real-time,effectiveness,and characterization of relative has some limitations.Therefore,developed a highly efficient risk assessment method is imminent,and the study has important theoretical significance and practical value.First of all,in this paper,the current network security evaluation research achievements and status are analyzed,this paper introduces the concept of network security risk assessment,in this paper,the principle of the network security risk assessment process and assessment types are summarized and analyzed,and the system is analyzed based on artificial immune evaluation method,AHP evaluation method and evaluation method of network security risk assessment methods,such as data fusion,laid a solid foundation for the study of the paper.Secondly,this paper design the network security risk assessment model based on temperature(network security risk assessment model based on body temperature,NSAM-BT),the model design is described in detail,design model and stage division,as well as the analysis model and the mapping relationship of the immune system.Again,on the basis of the model,analyzed all kinds of detector,the real-time dynamic evolutionary process of matching algorithm of a contiguous sequence of bits using unsteady lower miss rate or error detection rate,and antibody concentration quantitative calculation model is established and theorem proving.Finally,network temperature assessment model is established,define the risk level of the corresponding temperature range,the temperature range is mapped to a defined temperature area,through the temperature network risk assessment.In this paper,through a large number of simulation experiments show that the method is feasible and effective.This paper designed the experimental environment that the Network topology.By defining theorem theory to prove the feasibility and effectiveness of the proposed method,under the experimental environment of building simulation method to prove the feasibility and effectiveness of again.Under the same conditions,the method and other methods comparing the simulation experiment,it is concluded that the method in does not affect the overall performance under the condition of high efficiency.