Research On Network Security Risk Assessment Model Based On Artificial Immune

With the development of information technology,network security risk assessment technology has become one of the most important methods to measure the overall security of computer systems or networks,and has been widely studied.However,it has not yet formed a unified evaluation standard.Most of the time,it involves manunal analysis by experts,which makes most of the current evaluation methods more resource-intensive.In addition,most current evaluation methods only generate evaluation results based on the original detection data,and do not involve raw data processing.And different network attacks have different utilization rates for different vUlnerabilities,and many evaluation methods are generalized.It is difficult to accurately and timely assess the risk of target network attacks.Therefore,it is extremely urgent to design a risk assessment model with high practicability and high accuracy.In view of the problems in network risk assessment,this paper introduces artificial immune algorithm in the risk assessment intrusion detection stage to achieve the purpose of real-time detection of network attack data.Secondly,the network system is divided into three parts by analytic hierarchy process to achieve Partial to overall evaluation process.The main contribution of this paper include:Firstly,this paper designs a Network Risk Assessment Model Based on Artificial Immune(NRAM.AI),which is different from the traditional risk assessment model and uses artificial immune algorithm in the intrusion detection phase.It can detect network attack data in real time,and the paper improves the matching algorithm of artificial immune algorithm.Compared with the original algorithm,the detection accuracy is improved and the false detection rate is reduced.Secondly,in order to apply the model to the network system,this paper uses the analytic hierarchy process in the model to divide the network system into three levels:index layer,host layer and network layer.According to real-time intrusion monitoring data,combined with vulnerability scanning and asset evaluation,Get the overall network risk value.Finally,the paper gives the functional design of the information system risk assessment model.Based on the artificial immune algorithm,the implementation process of the attack hazard assessment module and the vulnerability identification module in the exponential layer is designed,and the risk assessment model is simulated.The experimental results show that the risk assessment model can accurately calculate the current network risk value.