数据链路层安全研究

数据链路层安全风险的大小和发生的概率决定了整个数据链路层的安全。有效的安全风险评估有助于检测系统的安全防护,降低数据链路层的安全风险,并提高检测系统的抵御安全风险的能力。在贝叶斯网络和D-S证据理论的基础上,结合这两种方法,对数据链路层影响因素进行了量化,得到数据链路层的风险值。然后构建了系统的节点模型和进程模型。最后,应用OPNET网络仿真工具对数据链路层进行了仿真实验,并利用评估方法得到最终评价结果。结果表明,应用贝叶斯网络和D-S证据理论结合的方法,可以有效评估影响数据链路层各因素的权重,并通过相关的方案对其进行改进和完善,提高了数据链路层的安全。

Research on data link layer security

the security of the whole data link layer is determined by the size and probability of the risk.Effective security risk assessment is helpful to the security protection measures of the detection system,reduce the security risk of the data link layer,and improve the ability of the detection system to resist the security risk.In this paper,based on Bayesian network and D-S evidence theory,combined with these two methods,the influencing factors of data link layer are quantified,and the risk value of data link layer is obtained.Then the node model and process model of the system are constructed.Finally,the OPNET Network simulation tool is used to simulate the data link layer,and the final evaluation results are obtained by using the evaluation method.The results show that the combination of Bayesian network and D-S evidence theory can effectively evaluate the weight of the factors that affect the data link layer,and improve and perfect it through relevant programs,which improves the security of the data link layer.